Deformation-Based Abnormal Motion Detection using 3D Skeletons

Renato Baptista, Girum Demisse, Djamila Aouada, Bjorn Ottersten
2018 2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA)  
In this paper, we propose a system for abnormal motion detection using 3D skeleton information, where the abnormal motion is not known a priori. To that end, we present a curve-based representation of a sequence, based on few joints of a 3D skeleton, and a deformation-based distance function. We further introduce a time-variation model that is specifically designed for assessing the quality of a motion; we refer to a distance function that is based on such a model as motion quality distance.
more » ... uality distance. The overall advantages of the proposed approach are 1) lower dimensional yet representative sequence representation and 2) a distance function that emphasizes time variation, the motion quality distance, which is a particularly important property for quality assessment. We validate our approach using a publicly available dataset, SPHERE-StairCase2014 dataset. Qualitative and quantitative results show promising performance.
doi:10.1109/ipta.2018.8608143 dblp:conf/ipta/BaptistaDAO18 fatcat:3hlq6ugk55d5xkkx32ttzyorxe