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Lecture Notes in Computer Science
Robust tracking of objects in video is a key challenge in computer vision with applications in automated surveillance, video indexing, human-computer-interaction, gesture recognition, traffic monitoring, etc. Many algorithms have been developed for tracking an object in controlled environments. However, they are susceptible to failure when the challenge is to track multiple objects that undergo appearance change to due to factors such as variation in illumination and object pose. In this paperdoi:10.1007/978-3-540-77046-6_81 fatcat:u4wvtfd6zzcnzp5hgr3uq5pfea