Review of Video Surveillance and Object Tracking

Paper reviews the challenge addressed by the researchers and work done in the field of video surveillance and moving object tracking. Video surveillance is widely been used to keep eyes on sensitive areas for maintaining security such as in military applications. The major challenge is that acquired video may have multiple moving objects of different size and shapes which makes it difficult to track them. In addition the efficiency of the object tracking may vary in the presence of the different velocity gradients for moving objects. Therefore many tracking methods have been designed to efficiently track the moving objects in the scenes. The paper gives a broad classification of the surveillance and tracking methods and then reviews each category individually. Paper concludes that medical image fusion efficiently improves the medical image quality but no fusion method works uniformly for different medical imaging accusation environments. Use of the an adaptive fusion methods with capability of selecting the optimum fission rule may improve the enhancement performance.