Derivation of a Constant Velocity Motion Model for Visual Tracking
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Abstract (arXiv)
Motion models play a great role in visual tracking applications for predicting the possible locations of objects in the next frame. Unlike target tracking in radar or aerospace domain which considers only points, object tracking in computer vision involves sizes of objects. Constant velocity motion model is the most widely used motion model for visual tracking, however, there is no clear and understandable derivation involving sizes of objects specially for new researchers joining this research field. In this document, we derive the constant velocity motion model that incorporates sizes of objects that, we think, can help the new researchers to adapt to it very quickly.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 May 2020.
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Citing papers per year: 2023: 3; 2024: 1; 2025: 2.
6 papers.
- 2023Heteroskedastic Geospatial Tracking with Distributed Camera Networkscited by 5
- 2023Transferability of Convolutional Neural Networks in Stationary Learning Taskscited by 1
- 2024Continuously Optimizing Radar Placement with Model Predictive Path Integralscited by 1
- 2025FusionSORT: Fusion Methods for Online Multi-object Visual Trackingcited by 1
- 2023CosmosDSR -- a methodology for automated detection and tracking of orbital debris using the Unscented Kalman Filtercited by 0
- 2025Recursive Deep Inverse Reinforcement Learningcited by 0
- 2025Recursive Deep Inverse Reinforcement Learning17 Apr 2025
- 2025FusionSORT: Fusion Methods for Online Multi-object Visual Tracking1 Jan 2025
- 2024Continuously Optimizing Radar Placement with Model Predictive Path Integrals29 May 2024
- 2023CosmosDSR -- a methodology for automated detection and tracking of orbital debris using the Unscented Kalman Filter26 Oct 2023
- 2023Transferability of Convolutional Neural Networks in Stationary Learning Tasks21 Jul 2023
- 2023Heteroskedastic Geospatial Tracking with Distributed Camera Networks4 Jun 2023