A Surveillance System Based on Motion Detection  and Motion Estimation using Optical Flow

Hossen, Muhammad Kamal; Tuli, Sabrina Hoque

dc.contributor.author	Hossen, Muhammad Kamal
dc.contributor.author	Tuli, Sabrina Hoque
dc.date.accessioned	2024-07-03T02:43:15Z
dc.date.available	2024-07-03T02:43:15Z
dc.date.issued	2016-05-13
dc.identifier.isbn	978-1-5090-1268-8
dc.identifier.uri	http://103.99.128.19:8080/xmlui/handle/123456789/444
dc.description	The ICIEV provides vibrant opportunities for researchers, industry practitioners and students to share their research experiences, research results, ideas, review of various aspects and practical development experiences on Informatics, Electronics, Computer Vision and related fields. Through various presentations from peer-reviewed accepted papers, Special Talks and networking - the ICIEV provides the avenue to share knowledge, make networks, and develop a community for the new researchers - based on the experiences of experts. The ICIEV will open doors for challenging research areas for future. The ICIEV welcomes you to be part of it - through offering Special Session, Tutorial, Workshop, Special Talk, Panel Discussion, and through submitting your research paper on and related arenas!	en_US
dc.description.abstract	In today’s world Surveillance system is playing an important role in the field of security. Moving object detection has been widely used in video surveillance system. As well as motion estimation is an important part of surveillance video processing such as video filtering and compression from video frames. This paper proposes a simple and efficient surveillance system based on motion detection with motion vector estimation from surveillance video frames. Motion is detected with a new approach- edge region determination which makes detection faster. The surveillance video is then processed for motion estimation using optical flow with Horn-Schunck algorithm for estimating motion vector for its reasonable performance and simplicity. This method is computationally faster without requiring any special hardware for image processing. So it can be more applicable to embedded systems.	en_US
dc.description.sponsorship	IEEE, JSME, IEEE Computer Society, IEEJ, EIC	en_US
dc.language.iso	en_US	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartofseries	ICIEV;
dc.subject	motion detection	en_US
dc.subject	video surveillance	en_US
dc.subject	motion estimation	en_US
dc.subject	optical flow	en_US
dc.title	A Surveillance System Based on Motion Detection and Motion Estimation using Optical Flow	en_US
dc.title.alternative	5th International Conference on Informatics, Electronics & Vision (ICIEV-2016)	en_US
dc.title.alternative	ICIEV-2016	en_US
dc.type	Article	en_US