Object detection in images with low light condition

Roman Kvyetnyy; Roman Maslii; Volodymyr Harmash; Ilona Bogach; Andrzej Kotyra; Żaklin Grądz; Aizhan Zhanpeisova; Nursanat Askarova

doi:10.1117/12.2281001

7 August 2017 Object detection in images with low light condition

Roman Kvyetnyy, Roman Maslii, Volodymyr Harmash, Ilona Bogach, Andrzej Kotyra, Żaklin Grądz, Aizhan Zhanpeisova, Nursanat Askarova

Author Affiliations +

Proceedings Volume 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017; 104450W (2017) https://doi.org/10.1117/12.2281001
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2017, 2017, Wilga, Poland

Abstract

Images acquired by computer vision systems under low light conditions are characterized by the existence of noises. As a rule, it results in decreasing object detection rate. To increase the object detection rate, the proper image preprocessing algorithm is needed. The paper presents the image denoising method based on bilateral filtering and wavelet thresholding. The boosting method for object detection that uses the modified Haar-like features which include Haar-like features and symmetrical local binary patterns are proposed. The proposed algorithm allows increasing object detection rate in comparison with Viola-Jones method for a case of face detection task. The algorithm was tested on the two image sets, Yale B and the proprietary – VNTU-458.

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Roman Kvyetnyy, Roman Maslii, Volodymyr Harmash, Ilona Bogach, Andrzej Kotyra, Żaklin Grądz, Aizhan Zhanpeisova, and Nursanat Askarova "Object detection in images with low light condition", Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 104450W (7 August 2017); https://doi.org/10.1117/12.2281001

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