In this paper we represent Security application which is developed using concepts of Video Analytics. User can draw Trip wire on video stream with help of Mouse Callback events. Using this application user can restrict any area of total video scene. Direction selection for tripping is also a choice of a user. If any undesired moving object cross this drawn trip wire then motion of this moving object is getting detected and also tracked. If object crosses trip wire in the same direction as that of user selected then Alarm Indication will appear on that moving object. OpenCV library functions are used for motion detection and motion tracking. CAMShift algorithm is implemented for tracking. An experimental result shows Motion detection, Motion Tracking and drawn trip wire on video

These paper reviews tracking of multiple moving objects with CAMshift algorithm in OpenCV. In many other cases CAMshift considered a feature of tracked object which need to track in video stream. Many times CAMshift algorithm used for face tracking. But in our paper we implement approach of CAMshift algorithm which is capable of track multiple moving objects in video stream. In our paper, we have not considered any feature of object to be tracked. Here first Reference frame is selected by user and further continuously updated Binary foreground pixels are given as an argument to CAMshift, for locating location of desired objects in each frame. Motion contour detection is achieved. By providing overlap threshold criteria in scope of CAMshift algorithm multiple objects are tracked in consecutive video frames and ellipse is getting drawn around each tracked object. We proved, CAMshift algorithm can be implemented in effective manner for multiple objects tracking in video stream.

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