TY - GEN
T1 - Salient object detection via a linear feedback control system
AU - Huo, Shuwei
AU - Zhou, Yuan
AU - Kung, Sun Yuan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Linear feedback control systems (LFCS) have been widely applied in signal analysis, filtering, and error correction. Many functional properties of LFCS are amenable to numerous object recognition and detection tasks. In fact, there exists an intimate relationship between control states and salient values. This prompts us to adopt the linear feedback control system to detect salient object in static images. Via an innovative iteration method, the system gradually converges an optimized stable state, which is associating with an accurate saliency map. In addition, to initialize the system, we propose the so called boundary homogeneity based on a priori knowledge on the boundary to estimate the background likelihood and indirectly depict a foreground (saliency) map. By our experimental results, we demonstrates that such feedback control model can bring about noticable improvement in salient object detection.
AB - Linear feedback control systems (LFCS) have been widely applied in signal analysis, filtering, and error correction. Many functional properties of LFCS are amenable to numerous object recognition and detection tasks. In fact, there exists an intimate relationship between control states and salient values. This prompts us to adopt the linear feedback control system to detect salient object in static images. Via an innovative iteration method, the system gradually converges an optimized stable state, which is associating with an accurate saliency map. In addition, to initialize the system, we propose the so called boundary homogeneity based on a priori knowledge on the boundary to estimate the background likelihood and indirectly depict a foreground (saliency) map. By our experimental results, we demonstrates that such feedback control model can bring about noticable improvement in salient object detection.
KW - Iterative optimization
KW - Linear feedback control system
KW - Saliency detection
UR - http://www.scopus.com/inward/record.url?scp=85045317963&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85045317963&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2017.8297085
DO - 10.1109/ICIP.2017.8297085
M3 - Conference contribution
AN - SCOPUS:85045317963
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 4257
EP - 4261
BT - 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
PB - IEEE Computer Society
T2 - 24th IEEE International Conference on Image Processing, ICIP 2017
Y2 - 17 September 2017 through 20 September 2017
ER -