Detection of People With Camouflage Pattern Via Dense Deconvolution Network

• Published in: IEEE signal processing letters Vol. 26; no. 1; pp. 29 - 33
• Main Authors: Zheng, Yunfei, Zhang, Xiongwei, Wang, Feng, Cao, Tieyong, Sun, Meng, Wang, Xiaobing
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Camouflage; Camouflage pattern; camouflaged people detection; Convolution; Deconvolution; dense deconvolution network (DDCN); Feature extraction; Image color analysis; Image segmentation; Object detection; Object recognition; Semantics; Smoothness; spatial smoothness; Training

In this letter, we explore the detection of people with camouflage pattern in cluttered natural scenes. First, considering the lack of open evaluation and training data on camouflaged people detection, a specific dataset of camouflaged people in natural scenes is constructed by us for the first time...