Advanced real-time algorithms for object-based video content extraction

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Video is becoming increasingly used in applications as diverse as entertainment, security, education, medicine, and even wireless devices. The introduction of video over mobile devices will accelerate this trend. For example, statistics Canada revealed that Canadians spent 21.6 hours per week watching TV in 2002, and security studies show that security concerns of government agencies, enterprises and individuals are driving the video surveillance market to a constant and robust expansion to be sustained for decades. A fundamental task in all these applications is the extraction of dynamic video content such as moving objects and their features. Video content is subject to different interpretation and video description can vary according to observers and applications. Video usually includes multiple objects, occlusion, and artifacts. The stable extraction of video content in real-world applications is, therefore, a challenging task.