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Object Detection Techniques in Videos
Author(s) -
M. V. Sudhamani,
M.Eng. Ir. Hendra Kusuma
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b1095.1292s19
Subject(s) - popularity , object detection , computer science , anomaly detection , pedestrian detection , object (grammar) , artificial intelligence , process (computing) , computer vision , object class detection , pedestrian , pattern recognition (psychology) , face detection , engineering , psychology , social psychology , facial recognition system , transport engineering , operating system
Object detection in videos has increased its popularity because of its wider applications. It has gained more research attention now days as it is applicable in real time situations like pedestrian detection, anomaly detection, Self moving cars, sports, counting of people etc. This paper begins with the introduction of object detection and briefs the basic steps in the process. It also provides a review of various techniques and approaches used for object detection in videos. Discussion of every approach and limitations will provide several promising directions and guidelines for future work.

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