Persistence and tracking: Putting vehicles and trajectories in context
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We propose a framework for human guided tracking based on explicitly considering the context surrounding the urban multi-vehicle tracking problem. This ...
City-scale vehicle tracking is a key persistent surveillance problem. In this paper we explore the premise that fully automated tracking is unlikely in ...
Persistence and tracking: Putting vehicles and trajectories in context
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We propose a framework for human guided tracking based on explicitly considering the context surrounding the urban multi-vehicle tracking problem.
We propose a framework for human guided tracking based on explicitly considering the context surrounding the urban multi-vehicle tracking problem. This ...
Persistence and Tracking: Putting Vehicles and Trajectories in Context. In: IEEE Applied Imagery and Pattern Recognition (AIPR). DOI: 10.1109/AIPR ...
This paper presents a probabilistic framework for segmenting and tracking multiple non rigid foreground objects for video surveillance, using a static ...
Sep 15, 2024 · In this paper, a new event-triggered optimal trajectory tracking control method based on goal representation heuristic dynamic programming (GrHDP) is proposed ...
The assignment of a passenger to a vehicle allows more precise trajectory tracking by matching passenger information with real-time public transportation ...
11 References · Persistence and tracking: Putting vehicles and trajectories in context · Vehicle trajectory prediction across non-overlapping camera networks.
This paper provides a literature review of some of the most important concepts, techniques, and methodologies used within autonomous car systems.
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