Motion features to enhance scene segmentation in active visual attention

Pattern Recognition Letters

Volumn 27, Issue 5, 2006, Pages 469-478

  López, María T ^a   Fernández Caballero, Antonio ^a   Fernández, Miguel A ^a   Mira, José ^b   Delgado, Ana E ^b  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^b UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA   (Spain)

Author keywords

Active visual attention; Feature extraction; Image sequences; Motion; Permanency memories; Segmentation

Indexed keywords

IMAGE ANALYSIS; IMAGE PROCESSING; MATHEMATICAL MODELS; MOTION CONTROL; PARAMETER ESTIMATION; VIDEO SIGNAL PROCESSING;

ACTIVE VISUAL ATTENTION; IMAGE SEQUENCES; MOTION; PERMANENCY MEMORIES; SEGMENTATION;

IMAGE SEGMENTATION;

EID: 32644434232     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2005.09.010     Document Type: Article

References (15)

1. A. Chella, M. Frixione, and S. Gaglio Understanding dynamic scenes Artificial Intell. 123 1-2 2000 89 132
2. C.L. Fennema, and W.B. Thompson Velocity determination in scenes containing several moving objects Comput. Graphics Image Process. 9 1979 301 315
3. M.A. Fernández, A. Fernández-Caballero, M.T. López, and J. Mira Length-speed ratio (LSR) as a characteristic for moving elements real-time classification Real-Time Imaging 9 2003 49 59
4. A. Fernández-Caballero, M.A. Fernández, J. Mira, and A.E. Delgado Spatio-temporal shape building from image sequences using lateral interaction in accumulative computation Pattern Recognition 36 5 2003 1131 1142
5. M.A. Fernández, J. Mira, M.T. López, J.R. Álvarez, A. Manjarrés, and S. Barro Local accumulation of persistent activity at synaptic level: application to motion analysis From Natural to Artificial Neural Computation 1995 Springer-Verlag pp. 137-143
6. A. Fernández-Caballero, J. Mira, M.A. Fernández, and M.T. López Segmentation from motion of non-rigid objects by neuronal lateral interaction Pattern Recognition Lett. 22 14 2001 1517 1524
7. D.J. Fleet, and A.D. Jepson Computation of component image velocity from local phase information Internat. J. Comput. Vision 5 1 1990 77 104
8. T. Gautama, and M.M. Van Hulle A phase-based approach to the estimation of the optical flow field using spatial filtering IEEE Trans. Neural Networks 13 5 2002 1127 1136
9. M.T. López, M.A. Fernández, A. Fernández-Caballero, and A.E. Delgado Neurally inspired mechanisms for the dynamic visual attention map generation task Computational Methods in Modeling Computation 2003 Springer-Verlag pp. 694-701
10. A. Maki, P. Nordlund, and J.-O. Eklundh Attentional scene segmentation: integrating depth and motion Comput. Vision Image Understanding 78 3 2000 351 373
11. J. Mira, A.E. Delgado, A. Fernández-Caballero, and M.A. Fernández Knowledge modelling for the motion detection task: the algorithmic lateral inhibition method Expert Systems with Appl. 27 2 2004 169 185
12. T.B. Moeslund, and E. Granum A survey of computer vision-based human motion capture Comput. Vision Image Understanding 81 2001 231 268
13. A. Robles-Kelly, and E.R. Hancock A probabilistic spectral framework for grouping and segmentation Pattern Recognition 37 7 2004 1387 1405
14. L. Wu, J. Benois-Pineau, P. Delagnes, and D. Barba Spatio-temporal segmentation of image sequences for object-oriented low bit-rate image coding Signal Process.: Image Comm. 8 6 1996 513 543
15. M. Zaki, M.Y. El Nahas, and M. Youssef EMBOT: an enhanced motion-based object tracker J. Systems Software 69 1-2 2004 149 158