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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/8180
Title: Specific Motion Pattern Detection: State-of-the-Art and Challenges
Authors: Rohil, Mukesh Kumar
Keywords: Computer Science
Motion Pattern Detection
Object Tracking
Movement Tracking
Object Recognition
Issue Date: 2021
Publisher: IEEE
Abstract: Detecting motion patterns in video constitutes a field which requires complex computations as processing of moving frame (video) is to be done. The field requires detection of patterns in motion by evaluating each frame pixel by pixel. Since we are mostly interested in detecting only specific patterns, it is possible that patterns that are not specific could be discarded. Applications of motion pattern detection cut across several verticals including surveillance, storage optimization, video compression, tracking of objects and determining the general direction of motion of multiple objects. In the present work, we have explored the state-of-the-art techniques and algorithms for detection of motion patterns, along with the associated challenges.
URI: https://ieeexplore.ieee.org/abstract/document/9417889
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8180
Appears in Collections:Department of Computer Science and Information Systems

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