A Cause and Effect Analysis of Motion Trajectories for Modeling Actions

Narayan, Sanath and Ramakrishnan, Kalpathi R (2014) A Cause and Effect Analysis of Motion Trajectories for Modeling Actions. In: 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), JUN 23-28, 2014, Columbus, OH, pp. 2633-2640.

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Abstract

An action is typically composed of different parts of the object moving in particular sequences. The presence of different motions (represented as a 1D histogram) has been used in the traditional bag-of-words (BoW) approach for recognizing actions. However the interactions among the motions also form a crucial part of an action. Different object-parts have varying degrees of interactions with the other parts during an action cycle. It is these interactions we want to quantify in order to bring in additional information about the actions. In this paper we propose a causality based approach for quantifying the interactions to aid action classification. Granger causality is used to compute the cause and effect relationships for pairs of motion trajectories of a video. A 2D histogram descriptor for the video is constructed using these pairwise measures. Our proposed method of obtaining pairwise measures for videos is also applicable for large datasets. We have conducted experiments on challenging action recognition databases such as HMDB51 and UCF50 and shown that our causality descriptor helps in encoding additional information regarding the actions and performs on par with the state-of-the art approaches. Due to the complementary nature, a further increase in performance can be observed by combining our approach with state-of-the-art approaches.

Item Type:	Conference Proceedings
Series.:	IEEE Conference on Computer Vision and Pattern Recognition
Publisher:	IEEE
Additional Information:	Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	30 Oct 2015 06:39
Last Modified:	30 Oct 2015 06:39
URI:	http://eprints.iisc.ac.in/id/eprint/52660

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