Volume 44 Issue 6
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Hu Mengjie, Wei Zhenzhong, Zhang Guangjun. Object detection method based on objectness estimation and Hough forest[J]. Infrared and Laser Engineering, 2015, 44(6): 1936-1941.
Citation: Hu Mengjie, Wei Zhenzhong, Zhang Guangjun. Object detection method based on objectness estimation and Hough forest[J]. Infrared and Laser Engineering, 2015, 44(6): 1936-1941.

Object detection method based on objectness estimation and Hough forest

  • Received Date: 2014-10-13
  • Rev Recd Date: 2014-11-17
  • Publish Date: 2015-06-25
  • Realizing effective and efficient object detection plays an important role in computer vision and has many practical applications including video surveillance and auto navigation. In order to improve the speed and accuracy of the existing detection methods, a simple yet effective object detection method coupled objectness estimation with Hough forest was proposed. Firstly, objectness estimation was utilized to generalize a set of object proposals based on bottom up visual attention mechanism of human vision system. Secondly, Hough forest object was adopted to localize the center of the object in the region of interest which was confirmed by object proposals put forward in the last step. Thirdly, the scale of the object proposal where the center was located was employed to determine the size of the object. A set of experiments demonstrate the effectiveness and efficiency of the proposed method.
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    [8] Cheng Mingming, Zhang Ziming, Lin Wenyan, et al. BING: binarized normed gradients for objectness estimation at 300fps [C]//Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on IEEE, 2014. (in Chinese)
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    [12] Gall Juergen, Yao Angela, Razavi Nima, et al. Hough forests for object detection, tracking, and action recognition[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2011, 33(11): 2188-2202.
    [13] An Meng, Jiang Zhiguo, Zhao Danpei, et al. Space shape object feature training and detection and recognition method based on Hough forest[J]. Infrared and Laser Engineering,2011, 40(8): 1582-1588. (in Chinese) 安萌,姜志国,赵丹培,等. 基于Hough树林的空间有形目标特征训练与检测识别方法[J]. 红外与激光工程,2011, 40(8): 1582-1588.
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Object detection method based on objectness estimation and Hough forest

  • 1. Key Laboratory of Precision Opto-mechatronics Technology,Ministry of Education,Beihang University,Beijing 100191,China

Abstract: Realizing effective and efficient object detection plays an important role in computer vision and has many practical applications including video surveillance and auto navigation. In order to improve the speed and accuracy of the existing detection methods, a simple yet effective object detection method coupled objectness estimation with Hough forest was proposed. Firstly, objectness estimation was utilized to generalize a set of object proposals based on bottom up visual attention mechanism of human vision system. Secondly, Hough forest object was adopted to localize the center of the object in the region of interest which was confirmed by object proposals put forward in the last step. Thirdly, the scale of the object proposal where the center was located was employed to determine the size of the object. A set of experiments demonstrate the effectiveness and efficiency of the proposed method.

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