A WSN approach to unmanned aerial surveillance of traffic anomalies: Some challenges and potential solutions

Stationary CCTV cameras are often used to help monitor car movements and detect any anomalies-e.g., accidents, cars going faster than the allowed speed, driving under the influence of alcohol, etc. The height of the cameras can limit their effectiveness and the types of image processing algorithm which can be used. With advancements in the development of inexpensive aerial flying objects and wireless devices, these two technologies can be coupled to support enhanced surveillance. The flying objects can carry multiple cameras and be sent well above the ground to capture and feed video/image information back to a ground station. In addition, because of the height the objects can achieve, they can capture videos and images which could lend themselves more suitably for the application of a variety of video and image processing algorithms to assist analysts in detecting any anomalies. In this paper, we examine some main challenges of using flying objects for surveillance purposes and propose some potential solutions to these challenges. By doing so, we attempt to provide the basis for developing a framework to build a viable system for improved surveillance based on low-cost equipment.

[1]  K. C. Manjunatha,et al.  Detection and Classification of Moving Objects by Using Real Time Traffic Flux through Differential and Graphical Analysis , 2009, 2009 First International Conference on Computational Intelligence, Communication Systems and Networks.

[2]  M. Praveen Kumar,et al.  An efficient approach for sensor deployments in wireless sensor network , 2010, INTERACT-2010.

[3]  Craig Callender,et al.  Persistent Surveillance , 2009, 2009 17th International Conference on Geoinformatics.

[4]  Senem Velipasalar,et al.  Design of a Wireless Vision Sensor for object tracking in Wireless Vision Sensor Networks , 2008, 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras.

[5]  Najeem Lawal,et al.  Exploration of Tasks Partitioning between Hardware Software and Locality for a Wireless Camera Based Vision Sensor Node , 2011, 2011 Sixth International Symposium on Parallel Computing in Electrical Engineering.

[6]  M.T. Razali,et al.  Detection and Classification of Moving Object for Smart Vision Sensor , 2006, 2006 2nd International Conference on Information & Communication Technologies.

[7]  Carlos Eduardo Pereira,et al.  Middleware Support in Unmanned Aerial Vehicles and Wireless Sensor Networks for Surveillance Applications , 2009, IDC.

[8]  Janne Riihijärvi,et al.  Performance study of IEEE 802.15.4 using measurements and simulations , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[9]  Yun Xu,et al.  An Algorithm for Continuous Object Tracking in WSNs , 2009, 2009 International Conference on Research Challenges in Computer Science.