Detecting and tracking multiple moving objects using temporal integration

Author(s):  
Michal Irani ◽  
Benny Rousso ◽  
Shmuel Peleg
2007 ◽  
Vol 19 (4) ◽  
pp. 632-641 ◽  
Author(s):  
Frank Scharnowski ◽  
Frouke Hermens ◽  
Thomas Kammer ◽  
Haluk Öğmen ◽  
Michael H. Herzog

Although the visual system can achieve a coarse classification of its inputs in a relatively short time, the synthesis of qualia-rich and detailed percepts can take substantially more time. If these prolonged computations were to take place in a retinotopic space, moving objects would generate extensive smear. However, under normal viewing conditions, moving objects appear relatively sharp and clear, suggesting that a substantial part of visual short-term memory takes place at a nonretinotopic locus. By using a retinotopic feature fusion and a nonretinotopic feature attribution paradigm, we provide evidence for a relatively fast retinotopic buffer and a substantially slower nonretinotopic memory. We present a simple model that can account for the dynamics of these complementary memory processes. Taken together, our results indicate that the visual system can accomplish temporal integration of information while avoiding smear by breaking off sensory memory into fast and slow components that are implemented in retinotopic and nonretinotopic loci, respectively.


2013 ◽  
Vol 280 (1752) ◽  
pp. 20122339 ◽  
Author(s):  
Deborah Apthorp ◽  
D. Samuel Schwarzkopf ◽  
Christian Kaul ◽  
Bahador Bahrami ◽  
David Alais ◽  
...  

Temporal integration in the visual system causes fast-moving objects to generate static, oriented traces (‘motion streaks’), which could be used to help judge direction of motion. While human psychophysics and single-unit studies in non-human primates are consistent with this hypothesis, direct neural evidence from the human cortex is still lacking. First, we provide psychophysical evidence that faster and slower motions are processed by distinct neural mechanisms: faster motion raised human perceptual thresholds for static orientations parallel to the direction of motion, whereas slower motion raised thresholds for orthogonal orientations. We then used functional magnetic resonance imaging to measure brain activity while human observers viewed either fast (‘streaky’) or slow random dot stimuli moving in different directions, or corresponding static-oriented stimuli. We found that local spatial patterns of brain activity in early retinotopic visual cortex reliably distinguished between static orientations. Critically, a multivariate pattern classifier trained on brain activity evoked by these static stimuli could then successfully distinguish the direction of fast (‘streaky’) but not slow motion. Thus, signals encoding static-oriented streak information are present in human early visual cortex when viewing fast motion. These experiments show that motion streaks are present in the human visual system for faster motion.


2004 ◽  
Vol 4 (8) ◽  
pp. 580-580
Author(s):  
M. Chappell ◽  
T. J. Hine ◽  
C. Acworth ◽  
D. Hardwick

2009 ◽  
Author(s):  
Piers D. Howe ◽  
Michael A. Cohen ◽  
Yair Pinto ◽  
Todd S. Horowitz
Keyword(s):  

2004 ◽  
Author(s):  
Kosuke Sawa ◽  
Kenneth Leising ◽  
Aaron P. Blaisdell

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