A Survey on Different Approaches for Motion Based Object Tracking

Object detection and tracking is generally performed in higher-level applications that require the location and/or shape of the object in every frame. In the last 15 years many different methods have been proposed over by many researches. In this paper we give a brief survey including few published approaches related to scene detection in videos and object tracking. So these is classify them according to their methods or base and try to make first scene detection in videos approaches and then applying to useful algorithm for object detection and tracking. Results of such different approaches can be efficiently useful for researchers to select most suitable method for designing the higher-level applications in proper way. At the end, we have to give future challenges for scene with object tracking and from these we have to design new method that will overcome all the shortcomings for given algorithms. This is a survey paper of object detection and tracking in videos to develop in future a new system to make a successive in all fields of applications. Keywords:- Scene detection, object tracking, key-frame extraction, object detection