Abstract: Pedestrian classification is a major problem in infrared (IR) images due to lack of shape, low signal-to-noise ratio and complex background. And it find applications in agriculture, forestry, night vision monitoring system, intelligence system and defence system. In this paper, local directional pixel structure elements descriptor (LDPSED)-based pedestrian classification approach is proposed to overcome these problems. In addition, for segment the objects (pedestrian and non-pedestrian) from an IR image interest point detection approach is proposed. The proposed method consists of three steps segmentation, feature extraction and classification. Firstly, objects are segmented from the input image. Secondly, the feature extraction is carried out on the segmented objects. Finally, support vector machine (SVM) is implemented for classification of objects in IR image into pedestrian and non-pedestrian. To prove the effectiveness of the proposed approach, we have conducted experimental test on the standard OTCBVS-BENCH-thermal collection over the OSU thermal pedestrian database. In addition, the classification results of the proposed approach are compared with the existing approaches. The efficiency of the proposed approach is proven by high classification accuracy.

Keywords: infrared image; local directional pattern; structure element descriptor; support vector machine; pedestrian classification.

Biography: Rajkumar Soundrapandiyan is currently working as an Associate Professor in School of Computer Science and Engineering, VIT University, Tamil Nadu, India. He received BE in Computer Science and Engineering from Anna University, Chennai, India in 2008, ME in Computer Science and Engineering from Anna University, Chennai, India in 2010. He has completed Ph.D. at VIT University, Vellore, India in 2017. His research interest includes computer vision, visual perception, object detection, medical image processing, infrared image processing, biometrics, information hiding, network security. He has published more than 50 research papers in reputed international conferences and journals. He is a Reviewer for many reputed journals like Computers in Biology and Medicine, Computers & Electrical Engineering, IET Computer Vision, etc. He is a life member of CSI and senior member of IEEE.