Aerial surveillance based on hierarchical object classification for ground target detection

Alberto Vázquez-Cervantes; Juan-Manuel García-Huerta; Teresa Hernández-Díaz; J. A. Soto-Cajiga; Hugo Jiménez-Hernández

doi:10.1117/12.2083447

4 March 2015 Aerial surveillance based on hierarchical object classification for ground target detection

Alberto Vázquez-Cervantes, Juan-Manuel García-Huerta, Teresa Hernández-Díaz, J. A. Soto-Cajiga, Hugo Jiménez-Hernández

Proceedings Volume 9407, Video Surveillance and Transportation Imaging Applications 2015; 940710 (2015) https://doi.org/10.1117/12.2083447
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

Unmanned aerial vehicles have turned important in surveillance application due to the flexibility and ability to inspect and displace in different regions of interest. The instrumentation and autonomy of these vehicles have been increased; i.e. the camera sensor is now integrated. Mounted cameras allow flexibility to monitor several regions of interest, displacing and changing the camera view. A well common task performed by this kind of vehicles correspond to object localization and tracking. This work presents a hierarchical novel algorithm to detect and locate objects. The algorithm is based on a detection-by-example approach; this is, the target evidence is provided at the beginning of the vehicle's route. Afterwards, the vehicle inspects the scenario, detecting all similar objects through UTM-GPS coordinate references. Detection process consists on a sampling information process of the target object. Sampling process encode in a hierarchical tree with different sampling's densities. Coding space correspond to a huge binary space dimension. Properties such as independence and associative operators are defined in this space to construct a relation between the target object and a set of selected features. Different densities of sampling are used to discriminate from general to particular features that correspond to the target. The hierarchy is used as a way to adapt the complexity of the algorithm due to optimized battery duty cycle of the aerial device. Finally, this approach is tested in several outdoors scenarios, proving that the hierarchical algorithm works efficiently under several conditions.

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Alberto Vázquez-Cervantes, Juan-Manuel García-Huerta, Teresa Hernández-Díaz, J. A. Soto-Cajiga, and Hugo Jiménez-Hernández "Aerial surveillance based on hierarchical object classification for ground target detection", Proc. SPIE 9407, Video Surveillance and Transportation Imaging Applications 2015, 940710 (4 March 2015); https://doi.org/10.1117/12.2083447

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KEYWORDS

Binary data

Content addressable memory

Detection and tracking algorithms

Cameras

Target detection

Surveillance

Computer programming

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