TY - GEN
T1 - Vision recognition system by using chaotic search
AU - Asakura, Toshiyuki
AU - Imamura, Satoshi
AU - Minami, Mamoru
PY - 2007
Y1 - 2007
N2 - This research is concerned with image recognition for a robot vision detecting target objects by using Chaotic Search in model-based matching. As a nonlinear dynamical system to generate a chaos, BVP model is treated, which shows the behavior of neurons in biological system. This model has the "edge of chaos", which exists on the boundary between a periodic solution and a chaos solution. This edge of chaos is an important area to maintain an organization to be flexible. In this research, the Chaotic Search is applied to image recognition utilizing the edge of chaos. First, the occurrence of chaos in BVP model is examined using the Lyapunov exponent. Second, in order to perform image recognition, we propose a method of Chaotic Search in which it can distinguish the target object from surroundings effectively, using a method of pattern matching. Finally, through two illustrative examples, the effectiveness of Chaotic Search is verified for both static and dynamic targets.
AB - This research is concerned with image recognition for a robot vision detecting target objects by using Chaotic Search in model-based matching. As a nonlinear dynamical system to generate a chaos, BVP model is treated, which shows the behavior of neurons in biological system. This model has the "edge of chaos", which exists on the boundary between a periodic solution and a chaos solution. This edge of chaos is an important area to maintain an organization to be flexible. In this research, the Chaotic Search is applied to image recognition utilizing the edge of chaos. First, the occurrence of chaos in BVP model is examined using the Lyapunov exponent. Second, in order to perform image recognition, we propose a method of Chaotic Search in which it can distinguish the target object from surroundings effectively, using a method of pattern matching. Finally, through two illustrative examples, the effectiveness of Chaotic Search is verified for both static and dynamic targets.
KW - Biological systems
KW - Chaos
KW - Image recognition
KW - Pattern matching
KW - Robot vision systems
UR - http://www.scopus.com/inward/record.url?scp=47949106001&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=47949106001&partnerID=8YFLogxK
U2 - 10.1109/SIPS.2007.4387564
DO - 10.1109/SIPS.2007.4387564
M3 - Conference contribution
AN - SCOPUS:47949106001
SN - 1424412226
SN - 9781424412228
T3 - IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
SP - 313
EP - 318
BT - 2007 IEEE Workshop on Signal Processing Systems, SiPS 2007, Proceedings
T2 - 2007 IEEE Workshop on Signal Processing Systems, SiPS 2007
Y2 - 17 October 2007 through 19 October 2007
ER -