Tracking across multiple cameras with disjoint views

Details Tracking across multiple cameras with disjoint views Tracking across multiple cameras with disjoint views

2004-10-16

2008-11-11

Desire, Gregory M (Department: 2624)

Image analysis

Applications

Target tracking or detecting

C348S143000, C348S169000, C382S107000, C382S190000, C382S224000, C382S294000

Reexamination Certificate

active

07450735

ABSTRACT:
Tracking and surveillance methods and systems for monitoring objects passing in front of non-overlapping cameras. Invention finds corresponding tracks from different cameras and works out which object passing in front of the camera(s) made the tracks, in order to track the object from camera to camera. The invention uses an algorithm to learn inter-camera spatial temporal probability using Parzen windows, learns inter-camera appearance probabilities using distribution of Bhattacharyya distances between appearance models, establishes correspondences based on Maximum A Posteriori (MAP) framework combining both spatial temporal and appearance probabilities, and updates learned probabilities throughout the lifetime of the system.

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