International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (IJAREEIE)
Object detection and tracking is one of the important aspect in many video surveillance applications like human activity recognition, patient monitoring, traffic control etc. This task becomes more difficult and challenging in varying illumination, occlusion, outdoor scenes and cluttered environment. The authors proposed an algorithm which continuously updates the background and improves the object detection. Detected object is tracked in the next frames of video and then finally it is classified. The videos which are used contain mainly three types of object viz. Single person, group of persons and vehicle.