Human Detection and Motion Tracking Using Machine Learning Techniques: A Review

Abstract

Individual detection approach based on the video and visual images in a major concern for monitoring a location. Tracking application majorly uses the video analytics as they can be able to analyze and track each individual for identification. This problem of feature selection, object representation, dynamic shape, and motion estimation are the active areas of research and the new solutions have been proposed. Behavioral detection plays a vital role in several recognition and identification process. This paper deals with the various techniques used for surveillance and the respective pitfalls in the current surveillance system.