Publication Type:

Journal Article

Source:

Advances in Intelligent Systems and Computing, Springer Verlag, Volume 397, p.809-817 (2016)

ISBN:

9788132226697

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84955251556&partnerID=40&md5=6f359576ce83367421644b55ee967c2b

Keywords:

Abrupt transition, Background extraction, extraction, Image segmentation, Night time, Real time videos, Security systems, Shot boundary detection, Shot boundary detection technique, Soft computing, Video enhancement, Video surveillance

Abstract:

A large number of security-related problems could be addressed by night time video surveillance. This has additional challenges of handling nonuniformly illuminated areas in the frame as compared to day time videos. The presence of vehicle lights degrades the existing background extraction process. An intensity- based shot boundary detection technique is applied for the night time videos in this paper. This algorithm is used to identify the abrupt transition frames that are caused by the vehicle lights or moving lights. The frames occuring between such detected frames could be reliably used for background extraction and night time video enhancement. The algorithm is tested on few real-time videos and their results are provided. © Springer India 2016.

Notes:

cited By 0; Conference of International Conference on Soft Computing Systems, ICSCS 2015 ; Conference Date: 20 April 2015 Through 21 April 2015; Conference Code:160689

Cite this Research Publication

S. Padmavathi and Abirami, G., “Detection of abrupt transitions in night time video for illumination enhancement”, Advances in Intelligent Systems and Computing, vol. 397, pp. 809-817, 2016.