Object Detection Techniques in Videos
Kusuma S.1, M. V. Sudhamani2

1Mrs. Kusuma S., Assistant Professor, Department of ISE, RNSIT, Bengaluru (Karnataka), India.

2Dr. M. V. Sudhamani, Professor and HOD, Department of ISE, RNSIT, Bengaluru (Karnataka), India.

Manuscript received on 07 December 2019 | Revised Manuscript received on 15 December 2019 | Manuscript Published on 31 December 2019 | PP: 616-620 | Volume-9 Issue-2S December 2019 | Retrieval Number: B10951292S19/2019©BEIESP | DOI: 10.35940/ijitee.B1095.1292S19

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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.

Keywords: Object Videos Techniques Applications Process.
Scope of the Article: Knowledge Engineering Tools and Techniques