Survey on Serial and Parallel Computing approaches for Real-Time Object Detection, Recognition and Tracking Systems

Abstract Object Detection, Recognition and Tracking operations are the important operations involved in machine vision and computer vision applications such as video surveillance, intelligent vehicle systems, person identification system, industrial product quality and quantity checking and many more. In the real time systems, it requires high speed computing approaches and devices to perform these operations. A parallel computing approach is the recent approach after the development of multi-core processor. Parallel computing method gives high performance result then the traditional way of serial computing. These computing approaches can be developed in two ways; one is software and another is hardware approach. There is a need for explore all these methods and approaches collectively to taken in to consideration for the efficient implementation of the real-time applications with high accuracy and good result. This paper presents the survey on Real-time object detection, recognition and tracking systems for computer vision and machine vision systems through serial, parallel, hardware and software approaches and also it presents the different algorithms, methods, result analysis, limitations evaluation metrics and the best approaches for future research work.