On pain assessment from facial videos using spatio-temporal local descriptors

Ruijing Yang, Shujun Tong, Miguel Bordallo, Elhocine Boutellaa, Jinye Peng, Xiaoyi Feng, Abdenour Hadid
2016 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)  
Automatically recognizing pain from spontaneous facial expression is of increased attention, since it can provide for a direct and relatively objective indication to pain experience. Until now, most of the existing works have focused on analyzing pain from individual images or video-frames, hence discarding the spatio-temporal information that can be useful in the continuous assessment of pain. In this context, this paper investigates and quantifies for the first time the role of the
more » ... oral information in pain assessment by comparing the performance of several baseline local descriptors used in their traditional spatial form against their spatio-temporal counterparts that take into account the video dynamics. For this purpose, we perform extensive experiments on two benchmark datasets. Our results indicate that using spatio-temporal information to classify video-sequences consistently shows superior performance when compared against the one obtained using only static information.
doi:10.1109/ipta.2016.7820930 dblp:conf/ipta/YangTLBPFH16 fatcat:zo33ouns4ba6bftuyb6icepzua