Exceptional motion frames detection by means of spatiotemporal region of interest features

Authors:
Md. Haidar Sharif;Chabane Djeraba
Affiliations:
University of Sciences and Technologies of Lille, France;University of Sciences and Technologies of Lille, France
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

This paper proposes a new approach to detect exceptional motion frames from real videos irrespective of both static and dynamic backgrounds. The approach is based on the use of the spatiotemporal region of interest (ST-RoI) features obtained from ST-RoI, which is estimated using motion history image (MHI). Within ST-RoI, exceptional motion makes the motion vectors (e.g., directions) change a lot as compared to normal motion. The normalized continuous rank-increase measure (NCRIM) calculated from the ST-RoI features has been used as the judgement index for determining normal or exceptional motion frame. To demonstrate the interest of the proposed approach, the results based on the detection of exceptional motion frames in real videos obtained from a single camera placed on the escalator exit in an airport have been presented.