Please use this identifier to cite or link to this item: http://10.9.150.37:8080/dspace//handle/atmiyauni/634
Title: A Survey on Moving Object Detection and Tracking Methods
Authors: Pathan, I.
Chauhan, C.
Keywords: Object Detection, Object Tracking, Background Subtraction, Gaussian Mixture Model, Optical Flow
Issue Date: 1-Apr-2015
Publisher: International Journal of Computer Science and Information Technologies
Citation: Pathan, I. & Chauhan, C.(2015). A survey on moving object detection and tracking methods.International Journal of Computer Science and Information Technologies.6(6), 5212-5215.http://ijcsit.com/docs/Volume%206/vol6issue06/ijcsit2015060679.pdf
Abstract: The researchers has attracted on object tracking research. There are many tracking algorithm, The purpose of object tracking algorithm is segmenting a region of interest from a video scene and keeping track of its motion, positioning and occlusion. Preceding steps for tracking an object in sequence of images are the object detection and object classification. To check existence and to locate that objects in video, Object detection is performed. The detected object can be classified among the various categories such as humans, vehicles, birds, floating clouds, swaying tree and other moving objects. Object tracking is performed by monitoring objects’ spatial and temporal changes like its presence, position, size, shape, etc. during a video sequence. This paper presents a brief survey of different object detection, object classification and object tracking algorithms available in the literature including analysis and comparative study of different techniques which one used for various stages of tracking.
URI: http://ijcsit.com/docs/Volume%206/vol6issue06/ijcsit2015060679.pdf
http://10.9.150.37:8080/dspace//handle/atmiyauni/634
ISSN: 0975-9646
Appears in Collections:01. Journal Articles

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