Translator Disclaimer
22 May 2014 Improving object detection in 2D images using a 3D world model
Author Affiliations +
A mobile robot operating in a netcentric environment can utilize offboard resources on the network to improve its local perception. One such offboard resource is a world model built and maintained by other sensor systems. In this paper we present results from research into improving the performance of Deformable Parts Model object detection algorithms by using an offboard 3D world model. Experiments were run for detecting both people and cars in 2D photographs taken in an urban environment. After generating candidate object detections, a 3D world model built from airborne Light Detection and Ranging (LIDAR) and aerial photographs was used to filter out false alarm using several types of geometric reasoning. Comparison of the baseline detection performance to the performance after false alarm filtering showed a significant decrease in false alarms for a given probability of detection.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Herbert E. M. Viggh, Peter L. Cho, Nicholas Armstrong-Crews, Myra Nam, Danelle C. Shah, and Geoffrey E. Brown "Improving object detection in 2D images using a 3D world model", Proc. SPIE 9121, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2014, 91210K (22 May 2014);


PerSEval phase I development of a 3D urban terrain...
Proceedings of SPIE (April 30 2010)
Performance modeling of a feature-aided tracker
Proceedings of SPIE (May 24 2012)
Modeling and calibration of automated zoom lenses
Proceedings of SPIE (October 06 1994)
Localization system for a high-speed land vehicle
Proceedings of SPIE (January 25 1998)
The ATR Center and ATRpedia
Proceedings of SPIE (March 25 2008)
Context aided tracking in aerial video surveillance
Proceedings of SPIE (April 16 2008)
Model-supported exploitation of aerial images
Proceedings of SPIE (January 10 1997)

Back to Top