Abstract
Human body detection is a fundamental research problem where computer vision could be applied. This research area has wide applications including surveillance, search and rescue missions. Building an effective human body detector framework under wide ranges of weather, lighting and environmental conditions is a challenge task. A variety of sensors and optimisation algorithms are proposed. This paper aims to review the human body detection methodology conducted by the Unmanned Aerial Vehicles (UAV), and the future research for the UAV search and rescue applications.
Publisher
Trans Tech Publications, Ltd.
Reference39 articles.
1. J. Cooper and M. Goodrich. Towards combining UAV and sensor operator roles in UAV enabled visual search, International Conference on Human Robot Interaction, pages 351-358, (2008).
2. W. Green, K. Sevcik, and P. Oh, A competition to identify key challenges for unmanned aerial robots in near-earth environments, ICAR, (2005).
3. K. Nordberg, P. Doherty, G. Farnebäck, PE. Forssén, G. Granlund, A. Moe, and J. Wiklund, Vision for a uav helicopter, " Proceedings of IROS, 02, workshop on aerial robotics, (2002).
4. M. Andriluka, P. Schnitzspan, J. Meyer, S. Kohlbrecher, K. Petersen, O. von Stryk, S. Roth, and B. Schiele, Vision based victim detection from unmanned aerial vehicles, Intelligent Robots and Systems (IROS), (2010).
5. Prof. R. Sengupta, Final report prepared for for Evergreen unmanned systems and Shell international exploration and production Inc, http: /c3uv. berkeley. edu.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Development of new technologies for real-time traffic monitoring;3RD INTERNATIONAL CONFERENCE ON ENERGY AND POWER, ICEP2021;2022
2. Autonomous Vehicle Design for Predator Proof Fence Monitoring;Intelligent Interactive Multimedia Systems and Services 2017;2017-05-28