Real-Time Target Detection and Tracking: A Comparative In-depth Review of Strategies

摘要

This survey reports the approaches for object detection and successful target tracking based on image acquisition for real time applications. Moving target detection and its tracking is an important research topic in computer vision and robotics. Complexity of algorithms for this purpose ranges from simple, single and stationary targets tracking to complex, multiple and moving targets handling. Their applications range from basic object detection and pick & place task using a simple robotic arm to complex surveillance using Unmanned Air Vehicles (UAVs). Depending upon the application scenario, various algorithms have been proposed. The objective of this research is to present a comprehensive survey on reported multipurpose algorithms for target real time detection and tracking. Particular consideration has been paid to the underlying norms of each algorithm and its ability to tackle various situations. The paper, besides introducing relevant algorithms and key terminologies, presents a comparative analysis of various associated techniques. It is anticipated that the present review will provide a very useful framework for researchers working in the area of computer vision. The review, in addition to helping them in choosing a particular algorithm, will offer guidance to tailor an existing technique for a specific problem in hand.