Relevant bibliographies by topics / Non-stationary camera tracking

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Academic literature on the topic 'Non-stationary camera tracking'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Non-stationary camera tracking"

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KEMSARAM, Narsimlu, Venkata Rajini Kanth THATIPARTI, Devendra Rao GUNTUPALLI, and Anil KUVVARAPU. "Design and development of an on-board autonomous visual tracking system for unmanned aerial vehicles." Aviation 21, no. 3 (2017): 83–91. http://dx.doi.org/10.3846/16487788.2017.1378265.

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This paper proposes the design and development of an on-board autonomous visual tracking system (AVTS) for unmanned aerial vehicles (UAV). A prototype of the proposed system has been implemented in MATLAB/ Simulink for simulation purposes. The proposed system contains GPS/INS sensors, a gimbaled camera, a multi-level autonomous visual tracking algorithm, a ground stationary target (GST) or ground moving target (GMT) state estimator, a camera control algorithm, a UAV guidance algorithm, and an autopilot. The on-board multi-level autonomous visual tracking algorithm acquires the video frames fro
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Skorohod, B. A. "ALGORITHMS FOR OBJECT POSITION MONITORING ON THE SEA SURFACE USING MONOCULAR VIDEO CAMERA." Monitoring systems of environment, no. 4 (December 27, 2021): 124–33. http://dx.doi.org/10.33075/2220-5861-2021-4-124-133.

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The article proposes new algorithms for estimating the coordinates of objects (both linear and angular) relative to the coordinate system related to the video camera. A two-step algorithm is proposed. At the first stage, the processing of images coming from the camera is performed – the selection of an area be-longing to the sea surface in the image, the detection and video tracking of objects, the determination of azimuth and elevation angles from the obtained images. Our approach is based on the representation of elevation and azimuth angles in the form of non-stationary autoregression model
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Sineglazov, Victor, and Anatoliy Komapov. "Intelligent on-Board Forest Fire Search System." Electronics and Control Systems 4, no. 74 (2022): 9–17. http://dx.doi.org/10.18372/1990-5548.74.17290.

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The paper analyzes the situation with forest fires in Ukraine. It is shown that the situation is deteriorating every year. For forest fire monitoring it is substantiated the need of the integrated use of data from satellites and unmanned aerial vehicles. It has been shown that early detection of a fire before it becomes a disaster is critical to preventing catastrophic fires and saving lives and property. A fire detection approach based on the use of computer vision methods that can work with a non-stationary camera installed on board the unmanned aerial vehicle is substantiated. An approach f
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Suryanto, Kim Hyo-Kak, Park Sang-Hee, Kim Dae-Hwan, and Ko Sung-Jea. "Probabilistic Center Voting Method for Subsequent Object Tracking and Segmentation." November 21, 2009. https://doi.org/10.5281/zenodo.1061745.

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In this paper, we introduce a novel algorithm for object tracking in video sequence. In order to represent the object to be tracked, we propose a spatial color histogram model which encodes both the color distribution and spatial information. The object tracking from frame to frame is accomplished via center voting and back projection method. The center voting method has every pixel in the new frame to cast a vote on whereabouts the object center is. The back projection method segments the object from the background. The segmented foreground provides information on object size and orientation,
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"Multiple Object Detection and Tracking using Kalman Filter in an Indoor and Outdoor Scene." International Journal of Recent Technology and Engineering 8, no. 5 (2020): 930–33. http://dx.doi.org/10.35940/ijrte.c4103.018520.

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Tracking target through sequences of images is fundamental problems in vision. In this paper we converse the motion based kalman filter procedure to track the multiple objects for indoor and outdoor scenes. This is of utmost importance for high-performance real -time applications. The mentioned approach is appropriate for indoor & outdoors scenes with static background & overcomes the problem of non-moving objectives fading into the background. The tracking in proposed turned into solely based totally on movement with the belief that each one items move in a immediately line with conti
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Covington, Elizabeth L., Dennis N. Stanley, Ashanti Lawson, et al. "Head‐to‐head: Anthropomorphic phantoms for evaluating the effect of skin tone on the accuracy of surface imaging systems." Journal of Applied Clinical Medical Physics 26, no. 7 (2025). https://doi.org/10.1002/acm2.70188.

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AbstractPurposeTo study the localization accuracy of two commercial surface imaging (SI) systems used for intrafraction motion monitoring during stereotactic radiosurgery (SRS) and quantify the difference in accuracy due to skin tone.MethodsUsing a publicly available CT dataset, anthropomorphic phantoms were 3D printed using filament in four skin tones: rose tan, light brown, medium brown, and dark brown (3DUniverse, Chicago, IL, USA). Three SI systems from two vendors were utilized to measure the SI‐reported offsets of the stationary phantoms in various gantry and couch configurations to crea
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Jeevith, S. H., and S. Lakshmikanth. "Robust hybrid technique for moving object detection and tracking using cartoon features and fast PCP." Computer Optics 46, no. 5 (2022). http://dx.doi.org/10.18287/2412-6179-co-1056.

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In various computer vision applications, the moving object detection is an essential step. Principal Component Analysis (PCA) techniques are often used for this purpose. However, the performance of this method is degraded by camera shake, hidden moving objects, dynamic background scenes, and / or fluctuating exposure. Robust Principal Component Analysis (RPCA) is a useful approach for reducing stationary background noise as it can recover low rank matrices. That is, moving object is formed by the low power models and the static background of RPCA. This paper proposes a simple alternative minim
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Roepke, Lisa K., David Brefeld, Ulrich Soltmann, Carly J. Randall, Andrew P. Negri, and Andreas Kunzmann. "Applying behavioral studies to the ecotoxicology of corals: A case study on Acropora millepora." Frontiers in Marine Science 9 (December 1, 2022). http://dx.doi.org/10.3389/fmars.2022.1002924.

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Behavioral responses are considered sensitive and effective indicators of organism stress. As the demand for standardized coral toxicity tests grows, innovative tools that allow for automatic and quantitative measurements of these behaviors may complement ecotoxicological studies. The rapid growth of competitive marine algae in aquaculture systems is a major issue for generating coral spat for reef restoration, and the application of non-toxic antifouling (AF) coatings might effectively mitigate this issue. While these coatings do not appear to be toxic to sensitive coral larvae, their potenti
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P P, Pranav, Pranay Prabha Badvelu, and Venugopal Arumuru. "Influence of amplitude and harmonic frequencies on the velocity of Faraday superwalkers." Physics of Fluids 36, no. 12 (2024). https://doi.org/10.1063/5.0241020.

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Faraday waves, arising from the vertical oscillation of a liquid bath, have long fascinated researchers for their role in studying non-equilibrium phenomena. The recent discovery of “superwalkers,” which are millimeter droplets exhibiting parabolic bouncing with high velocities on a vibrating liquid bath, has shown wave–particle interactions beyond classical theories. This study systematically investigates how key forcing parameters, such as the amplitude ratio, harmonic frequency, and phase angle difference between the dual-frequency excitation input signals, affect the velocity and walking d
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Jadhav, Ninad, Weiying Wang, Diana Zhang, Oussama Khatib, Swarun Kumar, and Stephanie Gil. "A wireless signal-based sensing framework for robotics." International Journal of Robotics Research, August 26, 2022, 027836492210979. http://dx.doi.org/10.1177/02783649221097989.

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In this paper, we develop the analytical framework for a novel Wireless signal-based Sensing capability for Robotics (WSR) by leveraging a robots’ mobility in 3D space. It allows robots to primarily measure relative direction, or Angle-of-Arrival (AOA), to other robots, while operating in non-line-of-sight unmapped environments and without requiring external infrastructure. We do so by capturing all of the paths that a wireless signal traverses as it travels from a transmitting to a receiving robot in the team, which we term as an AOA profile. The key intuition behind our approach is to enable
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Conference papers on the topic "Non-stationary camera tracking"

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Le, Xuesong, and Ruben Gonzalez. "Hybrid salient motion detection using temporal differencing and Kalman filter tracking with non-stationary camera." In 2017 IEEE International Conference on Image Processing (ICIP). IEEE, 2017. http://dx.doi.org/10.1109/icip.2017.8296902.

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Lee, Suk-Ho, and Moon Gi Kang. "Motion tracking with non-stationary camera based on area and level set weighted average of centroid shifting vectors." In Electronic Imaging 2008, edited by William A. Pearlman, John W. Woods, and Ligang Lu. SPIE, 2008. http://dx.doi.org/10.1117/12.765724.

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Stijnen, Bas, Joseph Thomson, Eoghan Somers, and David McKeown. "Moment of Inertia Measurement of a CubeSat Through Object Motion Tracking of Trifilar Pendulum Oscillations." In ESA 12th International Conference on Guidance Navigation and Control and 9th International Conference on Astrodynamics Tools and Techniques. ESA, 2023. http://dx.doi.org/10.5270/esa-gnc-icatt-2023-165.

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Every satellite project follows roughly the same steps, starting with requirements definition and preliminary design through to the final design, manufacturing, assembly, test and verification, launch, and operation. At every step, a milestone review is required with the status of the design verification against requirements. This however is commonly non-trivial when considering the Attitude Determination and Control Systems (ADCS) of the Spacecraft. This difficulty is compounded by the small budgets commonly available for CubeSat projects. The replication of the space environment and hardware
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