Title :
View adaptive detection and distributed site wide tracking
Author :
Tu, Peter ; Krahstoever, Nils ; Rittscher, Jens
Author_Institution :
GE Global Res., Niskayuna
Abstract :
Using a detect and track paradigm, we present a surveillance framework where each camera uses local resources to perform real-time person detection. These detections are then processed by a distributed site-wide tracking system. The detectors themselves are based on boosted user-defined exemplars, which capture both appearance and shape information. The detectors take integral images of both intensity and Sobel responses as input. This data representation enables efficient processing without relying on background subtraction or other motion cues. View-specific person detectors are constructed by iteratively presenting the boosting algorithm with training data associated with each individual camera. These detections are then transmitted from a distributed set of tracking clients to a server, which maintains a set of site-wide target tracks. Automatic calibration methods allow for tracking to be performed in a ground plane representation, which enables effective camera hand-off. Factors such as network latencies and scalability will be discussed.
Keywords :
cameras; image recognition; image sensors; optical tracking; Sobel response; adaptive detection; automatic calibration method; boosted user-defined exemplar; camera; distributed site wide tracking; ground plane representation; intensity response; network latency; network scalability; real-time person detection; surveillance framework; Boosting; Calibration; Cameras; Detectors; Iterative algorithms; Network servers; Shape; Surveillance; Target tracking; Training data;
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2007. AVSS 2007. IEEE Conference on
Conference_Location :
London
Print_ISBN :
978-1-4244-1696-7
Electronic_ISBN :
978-1-4244-1696-7
DOI :
10.1109/AVSS.2007.4425286