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Chapter
Simultaneous Detection and Tracking with Multiple Cameras
Tracking targets using multiple cameras is an important processing step for applications such as sports analysis, traffic monitoring, behavior detection and event recognition. The multi-camera tracking problem...
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Chapter
Multi-view Multi-object Detection and Tracking
Multi-viewtrackers combine data fromdifferent camera views to estimate the temporal evolution of objects across a monitored area. Data to be combined can be represented by object features (such as position, co...
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Chapter
Recognizing Interactions in Video
Detection and tracking algorithms generates useful information in the form of trajectories from which the behaviors and the interactions of moving objects can be inferred through the analysis of spatio-tempora...
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Chapter
Trajectory Clustering for Scene Context Learning and Outlier Detection
We present a scene understanding strategy for video sequences based on clustering object trajectories. In this chapter, we discuss a set of relevant feature spaces for trajectory representation and we critical...