Moving Object Tracking From A Video Sequence Using Bounding Box Method

The object tracking from a video sequence that contains moving objects is a critical task in real world applications. Object tracking from video sequence is the process of locating moving objects in time using a camera. The purpose of object tracking is to determine the position of the object in images continuously and reliably against dynamic scenes. This paper concerned with the tracking and following of moving object in a sequence of frames from a video sequence. After preprocessing of the original video sequence the moving object is tracked with the proposed moving object tracking algorithm in which the moving object region can be extracted completely. Segmentation is performed to detect the object after reducing the noise from that scene. The bases of the work is the block matching object tracking algorithm for a moving target in a video by plotting  a rectangular bounding box around it in each frame, and then process the data within that box to separate the tracked object from the background. The paper also includes experimental results of the tracking using the bounding box algorithm with certain improvements to make it suitable for tracking fast moving object.