Activity recognition in thermal infrared video
Md. Jakir Hossen, Eddie L. Jacobs, Fahmida Kishowara Chowdhury · 2015
In this paper, we investigate the tracking and recognition of limited activity in thermal infrared video. We have improved the pose segmentation from the background using a universal segmentation technique. Gait energy images (GEI) have been developed for collected repetitive and non-repetitive activities. Seven invariant moments features are extracted from the sequences of GEI of each activity and concatenated to a feature vector. Naïve Bayesians classifier is used for classification of feature vectors. Experimental result on limited activity shows the effectiveness of our proposed activity recognition algorithm.