Graph formulation of video activities for abnormal activity recognition

Conference/Journal
Pergamon
Authors
Dinesh Singh C. Krishna Mohan
BibTex
Abstract
Abstract Abnormal activity recognition is a challenging task in surveillance videos. In this paper, we propose an approach for abnormal activity recognition based on graph formulation of video activities and graph kernel support vector machine. The interaction of the entities in a video is formulated as a graph of geometric relations among space–time interest points. The vertices of the graph are spatio-temporal interest points and an edge represents the relation between appearance and dynamics around the interest points. ...