Deep survey on visual object tracking in surveillance environment

摘要

This paper presents the study on visual object tracking in surveillance environment. This paper focuses on the literature reviews on different ways of object tracking in different types of videos using different techniques such as, feature extraction, shearlet transformation, particle filter. Human Activity recognition and various applications such as Human-Computer Interaction, Human fall detection, Ambient Intelligence, Video Indexing, Content-based Video Analytics, Robotics, Visual Surveillance are all done by Object Tracking. The intention for this deep survey is to track objects using divergent techniques.