TY - GEN
T1 - Design and implementation of real-time object tracking system using the gaussian motion model and the Otsu Algorithm
AU - Hung, Meei Ling
AU - Chang, Chin Shu
AU - Chen, Ji Ding
AU - Lin, Jui Sheng
AU - Liao, Teh-Lu
PY - 2009/12/1
Y1 - 2009/12/1
N2 - Due to the rapid growth of computer science, image processing technology has recently been widely applied to various fields such as video-conferencing, computer vision and face tracking. However, the development of tracking systems is at a standstill because most studies have used the still camera and pure background. In an effort for advancement, this study proposes a wireless real-time tracking system based on background subtraction, the Gauss motion model, and the Otsu algorithm, to identify a moving object and then pursue it. This system consists of (a) a tracking platform with ARM and robot and (b) an image recognition system that regulates the location of the robot to trace the object and identifies the location of the object from the real-time image, respectively. In practice, the results of this study show that the proposed system can effectively trace the specific moving object and mark the object in the center of the view.
AB - Due to the rapid growth of computer science, image processing technology has recently been widely applied to various fields such as video-conferencing, computer vision and face tracking. However, the development of tracking systems is at a standstill because most studies have used the still camera and pure background. In an effort for advancement, this study proposes a wireless real-time tracking system based on background subtraction, the Gauss motion model, and the Otsu algorithm, to identify a moving object and then pursue it. This system consists of (a) a tracking platform with ARM and robot and (b) an image recognition system that regulates the location of the robot to trace the object and identifies the location of the object from the real-time image, respectively. In practice, the results of this study show that the proposed system can effectively trace the specific moving object and mark the object in the center of the view.
UR - http://www.scopus.com/inward/record.url?scp=77951000486&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77951000486&partnerID=8YFLogxK
U2 - 10.1109/KAM.2009.106
DO - 10.1109/KAM.2009.106
M3 - Conference contribution
AN - SCOPUS:77951000486
SN - 9780769538884
T3 - 2009 2nd International Symposium on Knowledge Acquisition and Modeling, KAM 2009
SP - 140
EP - 143
BT - 2009 2nd International Symposium on Knowledge Acquisition and Modeling, KAM 2009
T2 - 2009 2nd International Symposium on Knowledge Acquisition and Modeling, KAM 2009
Y2 - 30 November 2009 through 1 December 2009
ER -