Optimized tracking using VAIT for moving objects

摘要

This Automated object tracking and recognition system is very essential in terms of surveillance system and many more applications. Nevertheless correctness of these applications still remains the prior challenge. In this paper a simple procedure is proposed to develop a system that monitors a video and detect the objects that are moving and then recognize the objects comparing with our proposed method. Which is primarily targeted to stop stealing of vehicles from parking lot. This particular method can be further extended for many other applications. We use optical flow to detect moving objects and construct a data model of that particular object from different viewpoints. Applying VAIT on those certain regions that has got optical flow we try to figure out the matched object from our data models. Which boosts the performance and reduces the computation significantly. A moving vehicle can be in different angle at a given time. The tangible challenge for this paper is to recognition those objects.