Multiple Human Objects Tracking and Classification Directly in Compressive Measurement Domain for Long Range Infrared Videos

In this paper, we summarize new results in human target tracking and classification using compressive measurements directly. Two deep learning algorithms known as You Only Look Once (YOLO) and residual network (ResNet) have been applied. YOLO was used for object detection and tracking and ResNet was used for human classification. Extensive experiments using low quality and long range mid-wave infrared (MWIR) videos in the SENSIAC database showed that the proposed approach is promising.