Title
Vehicle detection in aerial surveillance using dynamic Bayesian networks.
Abstract
We present an automatic vehicle detection system for aerial surveillance in this paper. In this system, we escape from the stereotype and existing frameworks of vehicle detection in aerial surveillance, which are either region based or sliding window based. We design a pixelwise classification method for vehicle detection. The novelty lies in the fact that, in spite of performing pixelwise classification, relations among neighboring pixels in a region are preserved in the feature extraction process. We consider features including vehicle colors and local features. For vehicle color extraction, we utilize a color transform to separate vehicle colors and nonvehicle colors effectively. For edge detection, we apply moment preserving to adjust the thresholds of the Canny edge detector automatically, which increases the adaptability and the accuracy for detection in various aerial images. Afterward, a dynamic Bayesian network (DBN) is constructed for the classification purpose. We convert regional local features into quantitative observations that can be referenced when applying pixelwise classification via DBN. Experiments were conducted on a wide variety of aerial videos. The results demonstrate flexibility and good generalization abilities of the proposed method on a challenging data set with aerial surveillance images taken at different heights and under different camera angles.
Year
DOI
Venue
2012
10.1109/TIP.2011.2172798
IEEE Transactions on Image Processing
Keywords
Field
DocType
edge detection,feature extraction,photography,sliding window,dynamic bayesian network,image classification,artificial intelligence,algorithms,bayes theorem,dynamic bayesian networks,stereotype
Computer vision,Object detection,Canny edge detector,Sliding window protocol,Pattern recognition,Edge detection,Feature extraction,Artificial intelligence,Pixel,Contextual image classification,Mathematics,Dynamic Bayesian network
Journal
Volume
Issue
ISSN
21
4
1941-0042
Citations 
PageRank 
References 
47
1.49
11
Authors
3
Name
Order
Citations
PageRank
Hsu-Yung Cheng124323.56
Chih-Chia Weng2562.11
Yi-Ying Chen3472.51