A general method for sensitive identification detection in the terrorist video
Article No.: 21, Pages 1 - 5
Abstract
With the continuous development of image recognition(IR) technology, it has been widely applied to the different fields. In this paper, we present a general method for sensitive identification detection(logo detection and masked men recognition) in the terrorist video under the cluttered scenes. We firstly created a specific image dataset which contains 5000 logo images of various terrorist groups and 5000 head images of masked men that are taken from different surroundings with different angle and intensity of illumination. Then, a Haar-like wavelet representation and a novel gradient histogram(HOG-like) feature are used to capture the structural similarities between the target images. Furthermore, two classifiers are created to detect the logo image and the head of masked men. Finally, the faces of masked men are recognized by using a method based on local pixel difference(LPD). Experimental results demonstrate the effectiveness of the proposed method.
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- A general method for sensitive identification detection in the terrorist video
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Published In
August 2015
397 pages
ISBN:9781450335287
DOI:10.1145/2808492
- General Chairs:
- Ramesh Jain,
- Shuqiang Jiang,
- Program Chairs:
- John Smith,
- Jitao Sang,
- Guohui Li
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 19 August 2015
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ICIMCS '15
ICIMCS '15: International Conference on Internet Multimedia Computing and Service
August 19 - 21, 2015
Hunan, Zhangjiajie, China
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ICIMCS '15 Paper Acceptance Rate 20 of 128 submissions, 16%;
Overall Acceptance Rate 163 of 456 submissions, 36%
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