An Abandoned object Detection System using Background Segmentation

This paper represents the measures and algorithms for abandoned object detection system. Terrorist activities have threaten the life’s of common people and has given a flame for lack of security or the threat about losing their life’s in such activities. In this paper, the main emphasis is given on tracking, alert system wide ranging which can be used for the detections of the explosive objects that may cause any harm. Today, video surveillance is commonly used in security system but requires more intelligent and more robust technical approaches. Such system are used at Airports, Railway Station and other public places. Precise and accurate detection of the left luggage or the abandoned object is very essential in today’s world. In this context, a system is used which is observed by a multi-camera system and also involves multiple actors .We first detect the object by background subtraction . In this system there are 4 blocks which are as mentioned Video Conversion, Blob Detection, Object Tracking, Alarm. Initially the live video stream is segmented into frames or image. By using the image generated in matrix contain the value of each pixel by taking values of pixel and performing various operation on it we able to detect the abandoned object after detection we can track it and raise alarm. The problem of determining if object is left unattended is solved by analysing the output of the tracking system in a detection process. Keywordsbackground segmentation, abandoned object, framing, image, pixels