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A Survey on Moving Object Detection and Tracking Methods

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dc.contributor.author Pathan, I.
dc.contributor.author Chauhan, C.
dc.date.accessioned 2020-10-19T06:05:23Z
dc.date.available 2020-10-19T06:05:23Z
dc.date.issued 2015-04-01
dc.identifier.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 en_US
dc.identifier.issn 0975-9646
dc.identifier.uri http://ijcsit.com/docs/Volume%206/vol6issue06/ijcsit2015060679.pdf
dc.identifier.uri http://10.9.150.37:8080/dspace//handle/atmiyauni/634
dc.description.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. en_US
dc.language.iso en_US en_US
dc.publisher International Journal of Computer Science and Information Technologies en_US
dc.subject Object Detection, Object Tracking, Background Subtraction, Gaussian Mixture Model, Optical Flow en_US
dc.title A Survey on Moving Object Detection and Tracking Methods en_US
dc.type Article en_US


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