A Survey on Detection and Tracking of Objects in Video Sequence

Object tracking is a process of segmenting a region of interest from a video scene and keeping track of its motion, position and occlusion. The tracking is performed by monitoring objects’ spatial and temporal changes during a video sequence, including its presence, position, size, shape, etc. Object tracking is used in several applications such as video surveillance, robot vision, traffic monitoring, Video inpainting and Animation. Also, tracking of an object mainly involves two preceding steps object detection and object representation. Object detection is performed to check existence of objects in video and to precisely locate that object. The detected object fall into various categories such as humans, vehicles, birds, floating clouds, swaying tree and other moving objects. This paper presents a brief survey of different object detection, object representation and object tracking algorithms available in the literature including analysis and comparative study of different techniques used for various tracking stages. Keywords— Object detection, Object representation, Object tracking, Background subtraction, Background Modelling, Point based tracking, Kernel based tracking, Silhouette based tracking.