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Automatic Motion Trajectory Analysis For Dual Human Interaction Using Video Sequences
2015
Zenodo
Advance in techniques of image and video processing has enabled the development of intelligent video surveillance systems. This study was aimed to automatically detect moving human objects and to analyze events of dual human interaction in a surveillance scene. Our system was developed in four major steps: image preprocessing, human object detection, human object tracking, and motion trajectory analysis. The adaptive background subtraction and image processing techniques were used to detect and
doi:10.5281/zenodo.1107249
fatcat:j26drpfovja4pniuc2lo7z3w7m