Title :
Object detection with multiple cameras
Author :
Junior, Bruno Muller ; de Oliveira Anido, R.
Author_Institution :
Inst. of Comput., Unicamp, Campinas, Brazil
Abstract :
The paper presents an algorithm for detecting objects from multiple cameras. The algorithm (1) minimizes the effect of shadows, (2) detects and solves occlusion and (3) fuses objects that are detected in more than one camera. The algorithm was developed as part of SORTTS (soccer real-time tracking system), a tracking system based on a set of video cameras that covers a large area. The paper also reports the results of this algorithm in a challenging application area for tracking: professional soccer games.
Keywords :
hidden feature removal; object detection; optical tracking; surveillance; video signal processing; multiple cameras; object detection; object fusion; occlusion; professional soccer games; shadow effect minimization; tracking system; video surveillance; Cameras; Object detection;
Conference_Titel :
Motion and Video Computing, 2002. Proceedings. Workshop on
Print_ISBN :
0-7695-1860-5
DOI :
10.1109/MOTION.2002.1182233
