Authors:
Yuta Yamasaki
1
;
Shiryu Ooe
1
;
Akihiro Suzuki
1
;
Kazuhiro Kuno
2
;
Hideo Yamada
2
;
Shuichi Enokida
1
and
Hakaru Tamukoh
1
Affiliations:
1
Kyushu Institute of Technology, Japan
;
2
EQUOS RESEARCH Co. and Ltd, Japan
Keyword(s):
MRCoHOG, Hardware Oriented Algorithm, Human Detection.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Features Extraction
;
Image and Video Analysis
Abstract:
Human detection require high speed and high accuracy processing. One of the high performance techniques
of the detection is multi-resolution co-occurrence histogram of oriented gradients (MRCoHOG). Since the
calculation of co-occurrence requires a huge amount of processing resources, it is difficult to realize real-time
human detection with MRCoHOG. Accordingly, hardware implementation is considered to be effective. In
this paper, a hardware oriented MRCoHOG is proposed. In the proposed method, we simplify complicated
calculation such as multiplications and square root operation for efficient hardware implementation.
Experimental results show that the proposed method achieves better human detection rate than the ordinary
method. Moreover, MRCoHOG is implemented in a digital circuit with the proposed method. According to
logic simulation of the proposed circuit, the processing speed of the hardware implementation is 466 times
higher than the software implementation.