Suspicious Behavior Detection Using Computer Vision
Dexter Sing Fong Leong, Hao Feng Chan, Shakir Hussain Naushad Mohamed, Wui Chung Alton Chau, Andi Prademon Yunus, Takao Ito, Zheng Cai, Xinjie Deng, Yit Hong Choo · Proceedings of International Conference on Artificial Life and Robotics · 2025
Detecting suspicious activity is a crucial task for public safety.The determination of class suspicious behavior is based on the facial cues of a person.Research has been conducted in this field using computer vision tools.However, accuracy still has room for improvement.Hence, this paper aims to use a novel approach in using other deep learning models to classify behavior as either suspicious or normal based on facial cues.By enhancing the detection process, this paper contributes to improving the reliable and effective surveillance system.