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Moving object tracking using PTZ camera in video surveillance system

Hetal K. Chavda, Maulik Dhamecha

发表年份
2017
引用次数
20

摘要

Tracking people or moving objects across a PTZ camera and maintaining a track within a camera is a challenging task in applications of video surveillance. The goal of object tracking is segmenting a region of interest from a video scene and keeping track of its motion, positioning and occlusion. The object detection and object classification are preceding steps for tracking an object in sequence of images. Object detection is performed to check existence of objects in video and to precisely locate that object. Then detected object can be classified in various categories such as humans, vehicles, birds, floating clouds, swaying tree and other moving objects. Object tracking is performed using 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 in painting and Animation. This paper presents a study on moving object detection and tracking techniques using PTZ Camera.

关键词

Computer visionArtificial intelligenceComputer scienceVideo trackingObject detectionTracking (education)Object (grammar)Tracking systemSegmentationKalman filter

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