Yaoyao Zhang

Papers

Total Citations

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About

Yaoyao Zhang is a computer vision researcher whose work focuses on intelligent video analysis and crowd behavior understanding, with a particular emphasis on enhancing the safety and efficiency of autonomous systems. Her most cited paper, “An Analysis Method of Crowd Abnormal Behavior for Video Service Robot” (2019, 15 citations), addresses a critical challenge in real-world surveillance: the rapid and accurate detection of abnormal events in crowded environments such as airports, shopping malls, and train stations. This work is pivotal for service robots that must navigate and monitor dynamic, high-density spaces, offering a method that balances speed and precision to ensure timely responses to potential threats. Zhang’s contributions lie at the intersection of robotics and anomaly detection, providing foundational algorithms that improve situational awareness in public safety applications. By tackling the complexities of crowd analysis—where occlusions, motion variability, and real-time constraints are significant hurdles—she has advanced the practical deployment of video-based service robots. Her research underscores the growing importance of intelligent vision systems in urban security, making her a notable figure in applied computer vision.