Specifying Secured Requirement

Motion detection and object tracking algorithms are an important research area of computer vision and comprise building blocks of various high-level techniques in video analysis that include tracking and classification of trajectories. Detecting moving objects is very inmportant in many application contexts such as people detection. Visual surveillance and so on. We present a system for event detection and analysis from video streams. Our approach is based on a detection and tracking module which extracts moving objects trajectories from a video Stream. These trajectories, together with a rough lescription of the scene, are then used by the behavior inference module in order to recognize and classify object motion. The hierarchical tasks are performed on a buffered set of frames in order to provide accurate results by taking into account the temporal coherence of towing objects.