Relevant bibliographies by topics / Histogram of Oriented Gradient

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Histogram of Oriented Gradient'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Histogram of Oriented Gradient.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Histogram of Oriented Gradient"

1

Li, Bin, Kaili Cheng, and Zhezhou Yu. "Histogram of Oriented Gradient Based Gist Feature for Building Recognition." Computational Intelligence and Neuroscience 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/6749325.

Full text
Abstract:
We proposed a new method of gist feature extraction for building recognition and named the feature extracted by this method as the histogram of oriented gradient based gist (HOG-gist). The proposed method individually computes the normalized histograms of multiorientation gradients for the same image with four different scales. The traditional approach uses the Gabor filters with four angles and four different scales to extract orientation gist feature vectors from an image. Our method, in contrast, uses the normalized histogram of oriented gradient as orientation gist feature vectors of the same image. These HOG-based orientation gist vectors, combined with intensity and color gist feature vectors, are the proposed HOG-gist vectors. In general, the HOG-gist contains four multiorientation histograms (four orientation gist feature vectors), and its texture description ability is stronger than that of the traditional gist using Gabor filters with four angles. Experimental results using Sheffield Buildings Database verify the feasibility and effectiveness of the proposed HOG-gist.
APA, Harvard, Vancouver, ISO, and other styles
2

Shu, Chang, Xiaoqing Ding, and Chi Fang. "Histogram of the oriented gradient for face recognition." Tsinghua Science and Technology 16, no. 2 (April 2011): 216–24. http://dx.doi.org/10.1016/s1007-0214(11)70032-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Overbeek, Marlinda Vasty. "HISTOGRAM OF ORIENTED GRADIENT UNTUK DETEKSI EKSPRESI WAJAH MANUSIA." High Education of Organization Archive Quality: Jurnal Teknologi Informasi 10, no. 2 (December 31, 2018): 81–86. http://dx.doi.org/10.52972/hoaq.vol10no2.p81-86.

Full text
Abstract:
This research focuses on the detection of human facial expressions using the Histogram of Oriented Gradient algorithm. Whereas for the classification algorithm, Convolutional Neural Network is used. Image data used in the form of seven different expressions of humans with the extraction of 48x48 pixels. The use of Histogram of Oriented Gradient as a feature extracting algorithm, because Histogram of Oriented Gradient is good to be used in detecting moving objects. Whereas Convolutional Neural Network is used because it is an improvement of the Multi Layer Perceptron algorithm. Of the three epoches done, it produced the best accuracy of 77% re-introduction of human facial expressions. These results are quite convincing because it only uses three epochs.
APA, Harvard, Vancouver, ISO, and other styles
4

Adhinata, Faisal Dharma, Muhammad Ikhsan, and Wahyono Wahyono. "People counter on CCTV video using histogram of oriented gradient and Kalman filter methods." Jurnal Teknologi dan Sistem Komputer 8, no. 3 (May 26, 2020): 222–27. http://dx.doi.org/10.14710/jtsiskom.2020.13660.

Full text
Abstract:
CCTV cameras have an important function in the field of public service, especially for convenience. The objects recorded through CCTV cameras are processed into information to support service satisfaction in the community. This study uses the function of CCTV for people counting from objects recorded by a camera. Currently, the process of detecting and tracking people takes a long time to detect all frames. In this study, the frame selection into keyframes uses the mutual information entropy method. The keyframes processing uses the Histogram of Oriented Gradient (HOG) and Kalman filter methods. The proposed method results F1 value of 0.85, recall of 76 %, and precision of 97 % with winStride parameter (12,12), scale 1.05, and the distance of the human object to CCTV 4 meters.
APA, Harvard, Vancouver, ISO, and other styles
5

Das, Dipankar. "Activity Recognition Using Histogram of Oriented Gradient Pattern History." International Journal of Computer Science, Engineering and Information Technology 4, no. 4 (August 31, 2014): 23–31. http://dx.doi.org/10.5121/ijcseit.2014.4403.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Lei, Zhen. "Histogram of oriented gradient detector with color-invariant gradients in Gaussian color space." Optical Engineering 49, no. 10 (October 1, 2010): 109701. http://dx.doi.org/10.1117/1.3503944.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Ouanan, Hamid, Mohammed Ouanan, and Brahim Aksasse. "Gabor-HOG Features based Face Recognition Scheme." TELKOMNIKA Indonesian Journal of Electrical Engineering 15, no. 2 (August 1, 2015): 331. http://dx.doi.org/10.11591/tijee.v15i2.1546.

Full text
Abstract:
Extraction of invariant features is the core of Face RecognitionSystems (FRS). This work proposes a novel feature extractor-fusion scheme using two powerful feature descriptor known as Gabor Filters (GFs) and Histogram of Oriented Gradient (HOG), which the face image is filtered with the multiscale multiresolution Gabor filter bank to generate multiple Gabor magnitude images (GMIs), then the down-sampled GMIs and apply Histogram of Oriented Gradient to form the features. The experimental results on the FERET face database show the effectiveness of our methods.
APA, Harvard, Vancouver, ISO, and other styles
8

Jiao, Jichao, and Zhongliang Deng. "Deep combining of local phase quantization and histogram of oriented gradients for indoor positioning based on smartphone camera." International Journal of Distributed Sensor Networks 13, no. 1 (January 2017): 155014771668697. http://dx.doi.org/10.1177/1550147716686978.

Full text
Abstract:
To achieve high accuracy in indoor positioning using a smartphone, there are two limitations: (1) limited computational and memory resources of the smartphone and (2) the human walking in large buildings. To address these issues, we propose a new feature descriptor by deeply combining histogram of oriented gradients and local phase quantization. This feature is a local phase quantization of a salient histogram of oriented gradient visualizing image, which is robust in indoor scenarios. Moreover, we introduce a base station–based indoor positioning system for assisting to reduce the image matching at runtime. The experimental results show that accurate and efficient indoor location positioning is achieved.
APA, Harvard, Vancouver, ISO, and other styles
9

Zhang, Li Hong, and Lin Li. "Improved Pedestrian Detection Based on Extended Histogram of Oriented Gradients." Applied Mechanics and Materials 347-350 (August 2013): 3815–20. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.3815.

Full text
Abstract:
In order to further improve pedestrian detection accuracy and avoid the disadvantage of original histogram of oriented gradients (HOG), differential template, overlap ratio and normalization method and so on are improved when HOG features are extracted, then more gradient information are extracted and feature description operators can be obtained which describe human detail features better in lager image regions or detection windows. Considering speed, we select support vector machine (SVM) using linear function kernel as a classifier. Multi-scale detection technique and non maxima suppression method are employed for precisely locating the pedestrians in the image. Experiments show that the human detection system improves detection accuracy and still maintains a relatively satisfactory speed.
APA, Harvard, Vancouver, ISO, and other styles
10

Xu, Liangpeng, Yong Li, Chunxiao Fan, Hongbin Jin, and Xiang shi. "Incorporating Gradient Magnitude in Computation of Edge Oriented Histogram Descriptor." Electronic Imaging 2016, no. 2 (February 14, 2016): 1–7. http://dx.doi.org/10.2352/issn.2470-1173.2016.2.vipc-241.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Histogram of Oriented Gradient"

1

Lienemann, Matthew A. "Automated Multi-Modal Search and Rescue using Boosted Histogram of Oriented Gradients." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1507.

Full text
Abstract:
Unmanned Aerial Vehicles (UAVs) provides a platform for many automated tasks and with an ever increasing advances in computing, these tasks can be more complex. The use of UAVs is expanded in this thesis with the goal of Search and Rescue (SAR), where a UAV can assist fast responders to search for a lost person and relay possible search areas back to SAR teams. To identify a person from an aerial perspective, low-level Histogram of Oriented Gradients (HOG) feature descriptors are used over a segmented region, provided from thermal data, to increase classification speed. This thesis also introduces a dataset to support a Bird’s-Eye-View (BEV) perspective and tests the viability of low level HOG feature descriptors on this dataset. The low-level feature descriptors are known as Boosted Histogram of Oriented Gradients (BHOG) features, which discretizes gradients over varying sized cells and blocks that are trained with a Cascaded Gentle AdaBoost Classifier using our compiled BEV dataset. The classification is supported by multiple sensing modes with color and thermal videos to increase classification speed. The thermal video is segmented to indicate any Region of Interest (ROI) that are mapped to the color video where classification occurs. The ROI decreases classification time needed for the aerial platform by eliminating a per-frame sliding window. Testing reveals that with the use of only color data iv and a classifier trained for a profile of a person, there is an average recall of 78%, while the thermal detection results with an average recall of 76%. However, there is a speed up of 2 with a video of 240x320 resolution. The BEV testing reveals that higher resolutions are favored with a recall rate of 71% using BHOG features, and 92% using Haar-Features. In the lower resolution BEV testing, the recall rates are 42% and 55%, for BHOG and Haar-Features, respectively.
APA, Harvard, Vancouver, ISO, and other styles
2

Kuřátko, Jiří. "Počítání lidí ve videu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255470.

Full text
Abstract:
This master's thesis prepared the programme which is able to follow the trajectories of the movement of people and based on this to create various statistics. In practice it is an effective marketing tool which can be used for instance for customer flow analyses, optimal evaluation of opening hours, visitor traffic analyses and for a lot of other benefits. Histograms of oriented gradients, SVM classificator and optical flow monitoring were used to solve this problem. The method of multiple hypothesis tracking was selected for the association data. The system's quality was evaluated from the video footage of the street with the large concentration of pedestrians and from the school's camera system, where the movement in the corridor was monitored and the number of people counted.
APA, Harvard, Vancouver, ISO, and other styles
3

Dvořák, Michal. "Detekce a rozpoznání dopravního značení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221299.

Full text
Abstract:
The goal of this thesis is the utilization of computer vision methods, in a way that will lead to detection and identification of traffic signs in an image. The final application is to analyze video feed from a video camcorder placed in a vehicle. With focus placed on effective utilization of computer resources in order to achieve real time identification of signs in a video stream.
APA, Harvard, Vancouver, ISO, and other styles
4

Černín, Jan. "Vizuální detekce osob v komerčních aplikacích." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219704.

Full text
Abstract:
The aim of the master thesis is to derive and implement image porcessing methods for people detection and tracking in images or videos. The overall solution was chosen as a combination of modern approaches and methods which were recently presented. The proposed algorithm is able to create trajectory of the person moving in indoor building spaces even under influence of full or partial occlusion for a short period of time. The scene of interest is surveyed by a static camera having direct view on targets. Selected methods are implemented in C# programming language based on OpenCV library. Graphical user interface was created to show the final output of algorithm.
APA, Harvard, Vancouver, ISO, and other styles
5

Němec, Jiří. "Detekce pohybujících se objektů ve video sekvenci." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-412865.

Full text
Abstract:
This thesis deals with methods for the detection of people and tracking objects in video sequences. An application for detection and tracking of players in video recordings of sport activities, e.g. hockey or basketball matches, is proposed and implemented. The designed application uses the combination of histograms of oriented gradients and classification based on SVM (Support Vector Machines) for detecting players in the picture. Moreover, a particle filter is used for tracking detected players. The whole system was fully tested and the results are shown in the graphs and tables with verbal descriptions.
APA, Harvard, Vancouver, ISO, and other styles
6

Vajhala, Rohith, Rohith Maddineni, and Preethi Raj Yeruva. "Weapon Detection In Surveillance Camera Images." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13565.

Full text
Abstract:
Now a days, Closed Circuit Television (CCTV) cameras are installedeverywhere in public places to monitor illegal activities like armedrobberies. Mostly CCTV footages are used as post evidence after theoccurrence of crime. In many cases a person might be monitoringthe scene from CCTV but the attention can easily drift on prolongedobservation. Eciency of CCTV surveillance can be improved by in-corporation of image processing and object detection algorithms intomonitoring process.The object detection algorithms, previously implemented in CCTVvideo analysis detect pedestrians, animals and vehicles. These algo-rithms can be extended further to detect a person holding weaponslike rearms or sharp objects like knives in public or restricted places.In this work the detection of weapon from CCTV frame is acquiredby using Histogram of Oriented Gradients (HOG) as feature vector andarticial neural networks performing back-propagation algorithm forclassication.As a weapon in the hands of a human is considered to be greaterthreat as compared to a weapon alone, in this work the detection ofhuman in an image prior to a weapon detection has been found advan-tageous. Weapon detection has been performed using three methods.In the rst method, the weapon in the image is detected directly with-out human detection. Second and third methods use HOG and back-ground subtraction methods for detection of human prior to detectionof a weapon. A knife and a gun are considered as weapons of inter-est in this work. The performance of the proposed detection methodswas analysed on test image dataset containing knives, guns and im-ages without weapon. The accuracy rate 84:6% has been achievedby a single-class classier for knife detection. A gun and a knife havebeen detected by the three-class classier with an accuracy rate 83:0%.
APA, Harvard, Vancouver, ISO, and other styles
7

Chrápek, David. "Učení a detekce objektů různých tříd v obraze." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236481.

Full text
Abstract:
This paper is focused on object learning and recognizing in the image and in the image stream. More specifically on learning and recognizing humans or theirs parts in case they are partly occluded, with possible usage on robotic platforms. This task is based on features called Histogram of Oriented Gradients (HOG) which can work quite well with different poses the human can be in. The human is split into several parts and those parts are detected individually. Then a system of voting is introduced in which detected parts votes for the final positions of found people. For training the detector a linear SVM is used. Then the Kalman filter is used for stabilization of the detector in case of detecting from image stream.
APA, Harvard, Vancouver, ISO, and other styles
8

Vídeňský, František. "Počítačová podpora rozpoznávání a klasifikace rodových erbů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363773.

Full text
Abstract:
This master thesis describes the design and development of the system for detection and recognition of whole coat of arms as well as each heraldic parts. In the thesis are presented methods of computer vision for segmentation and detection of an object and selected methods that are the most suitable. Most of the heraldic parts are segmented using a convolution neural networks and the rest using active contours. The Histogram of the gradient method was selected for coats of arms detection in an image. For training and functionality verification is used my own data set. The resulting system can serve as an auxiliary tool used in auxiliary sciences of history.
APA, Harvard, Vancouver, ISO, and other styles
9

Novák, Pavel. "Vyhledávání objektů v obraze na základě předlohy." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220583.

Full text
Abstract:
This Thesis is focused to Image Object Detection using Template. Main Benefit of this Work is a new Method for sympthoms extraction from Histogram of Oriented Gradients using set of Comparators. In this used Work Methods of Image comparing and Sympthoms extraction are described. Main Part is given to Histogram of Oriented Gradients Method. We came out from this Method. In this Work is used small training Data Set (100 pcs.) verified by X-Validation, followed by tests on real Sceneries. Achieved success Rate using X-Validation is 98%. for SVM Algorithm.
APA, Harvard, Vancouver, ISO, and other styles
10

Olejár, Adam. "Měření výšky postavy v obraze." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-220426.

Full text
Abstract:
The aim of this paper is a summary of the theory necessary for a modification, detection of person and the height calculation of the detected person in the image. These information were then used for implementation of the algoritm. The first half reveals teoretical problems and solutions. Shows the basic methods of image preprocessing and discusses the basic concepts of plane and projective geometry and transformations. Then describes the distortion, that brings into the picture imperfections of optical systems of cameras and the possibilities of removing them. Explains HOG algorithm and the actual method of calculating height of person detected in the image. The second half describes algoritm structure and statistical evaluation.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Histogram of Oriented Gradient"

1

Analysis of a generally oriented crack in a functionally graded strip sandwiched between two homogeneous half planes. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 1999.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

K, Binienda W., Kreider K, and NASA Glenn Research Center, eds. Analysis of a generally oriented crack in a functionally graded strip sandwiched between two homogeneous half planes. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 1999.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Goswami, B. N., and Soumi Chakravorty. Dynamics of the Indian Summer Monsoon Climate. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.613.

Full text
Abstract:
Lifeline for about one-sixth of the world’s population in the subcontinent, the Indian summer monsoon (ISM) is an integral part of the annual cycle of the winds (reversal of winds with seasons), coupled with a strong annual cycle of precipitation (wet summer and dry winter). For over a century, high socioeconomic impacts of ISM rainfall (ISMR) in the region have driven scientists to attempt to predict the year-to-year variations of ISM rainfall. A remarkably stable phenomenon, making its appearance every year without fail, the ISM climate exhibits a rather small year-to-year variation (the standard deviation of the seasonal mean being 10% of the long-term mean), but it has proven to be an extremely challenging system to predict. Even the most skillful, sophisticated models are barely useful with skill significantly below the potential limit on predictability. Understanding what drives the mean ISM climate and its variability on different timescales is, therefore, critical to advancing skills in predicting the monsoon. A conceptual ISM model helps explain what maintains not only the mean ISM but also its variability on interannual and longer timescales.The annual ISM precipitation cycle can be described as a manifestation of the seasonal migration of the intertropical convergence zone (ITCZ) or the zonally oriented cloud (rain) band characterized by a sudden “onset.” The other important feature of ISM is the deep overturning meridional (regional Hadley circulation) that is associated with it, driven primarily by the latent heat release associated with the ISM (ITCZ) precipitation. The dynamics of the monsoon climate, therefore, is an extension of the dynamics of the ITCZ. The classical land–sea surface temperature gradient model of ISM may explain the seasonal reversal of the surface winds, but it fails to explain the onset and the deep vertical structure of the ISM circulation. While the surface temperature over land cools after the onset, reversing the north–south surface temperature gradient and making it inadequate to sustain the monsoon after onset, it is the tropospheric temperature gradient that becomes positive at the time of onset and remains strongly positive thereafter, maintaining the monsoon. The change in sign of the tropospheric temperature (TT) gradient is dynamically responsible for a symmetric instability, leading to the onset and subsequent northward progression of the ITCZ. The unified ISM model in terms of the TT gradient provides a platform to understand the drivers of ISM variability by identifying processes that affect TT in the north and the south and influence the gradient.The predictability of the seasonal mean ISM is limited by interactions of the annual cycle and higher frequency monsoon variability within the season. The monsoon intraseasonal oscillation (MISO) has a seminal role in influencing the seasonal mean and its interannual variability. While ISM climate on long timescales (e.g., multimillennium) largely follows the solar forcing, on shorter timescales the ISM variability is governed by the internal dynamics arising from ocean–atmosphere–land interactions, regional as well as remote, together with teleconnections with other climate modes. Also important is the role of anthropogenic forcing, such as the greenhouse gases and aerosols versus the natural multidecadal variability in the context of the recent six-decade long decreasing trend of ISM rainfall.
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Histogram of Oriented Gradient"

1

Tan, Ching Soon, Phooi Yee Lau, and Tang Jung Low. "Macroalgae Recognition Based on Histogram Oriented Gradient." In 9th International Conference on Robotic, Vision, Signal Processing and Power Applications, 257–66. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1721-6_28.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Calvillo, Alberto Dzul, Roberto A. Vazquez, Jose Ambrosio, and Axel Waltier. "Face Recognition Using Histogram Oriented Gradients." In Intelligent Computing Systems, 125–33. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30447-2_11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Woraratpanya, Kuntpong, and Taravichet Titijaroonroj. "Adaptive Histogram of Oriented Gradient for Printed Thai Character Recognition." In Advances in Intelligent Systems and Computing, 83–92. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06538-0_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Tsai, Wen-Kai, Sheng-Kai Lo, Ching-De Su, and Ming-Hwa Sheu. "Vehicle Detection Algorithm Based on Modified Gradient Oriented Histogram Feature." In Advances in Intelligent Information Hiding and Multimedia Signal Processing, 127–34. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50212-0_16.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Mangrolia, Jayandrath R., and Ravi K. Sheth. "Histogram of Oriented Gradient-Based Abnormal Weapon Detection and Classification." In Algorithms for Intelligent Systems, 945–55. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3246-4_72.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Arora, Ridhi, and Parvinder Singh. "Histogram of Oriented Gradients for Image Mosaicing." In Innovations in Computational Intelligence, 211–25. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4555-4_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Zhang, Shuai, Xiang Chen, Kongqiao Wang, Jiangwei Li, Yanwei Pang, and He Yan. "Active Histogram of Oriented Gradient Based Learning for Free Palm Tracking." In Frontiers in Computer Education, 683–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27552-4_91.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Kelly, Colm, Roger Woods, Moslem Amiri, Fahad Siddiqui, and Karen Rafferty. "Programmable Architectures for Histogram of Oriented Gradients Processing." In Handbook of Signal Processing Systems, 649–82. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91734-4_18.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Feng, Sibo, Shijia Li, Ping Guo, and Qian Yin. "Image Recognition with Histogram of Oriented Gradient Feature and Pseudoinverse Learning AutoEncoders." In Neural Information Processing, 740–49. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70136-3_78.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Zhang, Huanhuan, and Lin Li. "Facial Expression Recognition Using Histogram Sequence of Local Gabor Gradient Code-Horizontal Diagonal and Oriented Gradient Descriptor." In Lecture Notes in Electrical Engineering, 243–51. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6499-9_24.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Histogram of Oriented Gradient"

1

Ren, Haoyu, and Ze-Nian Li. "Object detection using edge histogram of oriented gradient." In 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2014. http://dx.doi.org/10.1109/icip.2014.7025824.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Arora, Parul, Gopal Chaudhary, and Smriti Srivastava. "Exploiting Oriented Gradient Histogram for Dorsal Vein Recognition." In 2019 Twelfth International Conference on Contemporary Computing (IC3). IEEE, 2019. http://dx.doi.org/10.1109/ic3.2019.8844929.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Iandola, Forrest N., Matthew W. Moskewicz, and Kurt Keutzer. "libHOG: Energy-Efficient Histogram of Oriented Gradient Computation." In 2015 IEEE 18th International Conference on Intelligent Transportation Systems - (ITSC 2015). IEEE, 2015. http://dx.doi.org/10.1109/itsc.2015.205.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Wei, Daimeng, Yong Zhao, Ruzhong Cheng, and Guoliang Li. "An enhanced Histogram of Oriented Gradient for pedestrian detection." In 2013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, 2013. http://dx.doi.org/10.1109/icicip.2013.6568118.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Kojima, Seiji, Wataru Ohyama, and Tetsushi Wakabayashi. "Gesture recognition based on spatiotemporal histogram of oriented gradient variation." In 2017 6th International Conference on Informatics, Electronics and Vision & 2017 7th International Symposium in Computational Medical and Health Technology (ICIEV-ISCMHT). IEEE, 2017. http://dx.doi.org/10.1109/iciev.2017.8338581.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Asha, M. Madlin, and J. Jennifer Ranjani. "Secure image retrieval using pyramid histogram of oriented gradient descriptor." In 2013 International Conference on Advanced Computing & Communication Systems (ICACCS). IEEE, 2013. http://dx.doi.org/10.1109/icaccs.2013.6938712.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Manchalwar, Mrunalini D., and Krishna K. Warhade. "Histogram of Oriented Gradient based Automatic Detection of Eye Diseases." In 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2017. http://dx.doi.org/10.1109/iccubea.2017.8463671.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Ni, Hui, Zhenhua Guo, and Biqing Huang. "Binary Patent Image Retrieval Using the Hierarchical Oriented Gradient Histogram." In 2015 International Conference on Service Science (ICSS). IEEE, 2015. http://dx.doi.org/10.1109/icss.2015.12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Newell, Andrew J., and Lewis D. Griffin. "Multiscale Histogram of Oriented Gradient Descriptors for Robust Character Recognition." In 2011 International Conference on Document Analysis and Recognition (ICDAR). IEEE, 2011. http://dx.doi.org/10.1109/icdar.2011.219.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Lu, Wu-Sheng. "Handwritten digits recognition using PCA of histogram of oriented gradient." In 2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM). IEEE, 2017. http://dx.doi.org/10.1109/pacrim.2017.8121906.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Histogram of Oriented Gradient' for particular source types:
Journal articles Dissertations / Theses
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography