TY - JOUR
T1 - A Discriminative Approach for People Detection Using Color Camera for Mobile Robot Platforms
AU - Aldabbagh, Ali
AU - Al-Shimaysawee, Leith
AU - Asgari, Nasser
PY - 2016
Y1 - 2016
N2 - In this paper, we explore a new algorithm to detect people with color cameras based on our modified Implicit Shape Model (ISM) implemented for grey scale thermal images. The idea of this approach is to convert a color image to a grey scale image, invert it to appear like a thermal image, and then apply the same algorithm that we used for people detection in thermal images. As the first step, we use the ISM to define the proposed centers of people locations. Then we utilize a novel method to detect people based on the density of the concentrated proposed centers by using an auto generated threshold mechanism. Our method is easy to implement and does not require complicated computations; thus resulting in a considerable increase in the speed performance and decrease in the cost of the required hardware on mobile platforms. We evaluated our system by testing it on three image sets for indoor and three for outdoor scenarios. Our system showed promising results in detecting people on images taken by different types of color cameras under difficult scenarios. This technique is used as the vision system for a rescue assist mobile robot built at Flinders University
AB - In this paper, we explore a new algorithm to detect people with color cameras based on our modified Implicit Shape Model (ISM) implemented for grey scale thermal images. The idea of this approach is to convert a color image to a grey scale image, invert it to appear like a thermal image, and then apply the same algorithm that we used for people detection in thermal images. As the first step, we use the ISM to define the proposed centers of people locations. Then we utilize a novel method to detect people based on the density of the concentrated proposed centers by using an auto generated threshold mechanism. Our method is easy to implement and does not require complicated computations; thus resulting in a considerable increase in the speed performance and decrease in the cost of the required hardware on mobile platforms. We evaluated our system by testing it on three image sets for indoor and three for outdoor scenarios. Our system showed promising results in detecting people on images taken by different types of color cameras under difficult scenarios. This technique is used as the vision system for a rescue assist mobile robot built at Flinders University
KW - Color image
KW - ISM
KW - People detection
KW - Rescue robot
UR - http://www.ijmerr.com/index.php?m=content&c=index&a=show&catid=141&id=730
UR - http://www.scopus.com/inward/record.url?scp=85006309067&partnerID=8YFLogxK
U2 - 10.18178/ijmerr.5.2.103-108
DO - 10.18178/ijmerr.5.2.103-108
M3 - Article
SN - 2278-0149
VL - 5
SP - 103
EP - 108
JO - International Journal of Mechanical Engineering and Robotics Research
JF - International Journal of Mechanical Engineering and Robotics Research
IS - 2
ER -