Learning and representing 3D environments from multiple 2D dynamic views

This project is funded by The Leverhulme Trust and was awarded to Ben Tatler (Dundee) and Ken Scott-Brown (Abertay), with Matt Stainer as postdoctoral researcher.

Project abstract

The practical problem of multiplex video surveillance frames a compelling theoretical debate in scene perception. Videos present known challenges for representation yet experienced CCTV operators anticipate unfolding action with ease. The key theoretical question is whether expertise is underpinned by viewpoint-dependent or viewpoint- independent representations of the environment. The proposed experiments use a surveillance paradigm to characterise the nature, time course and flexibility of learning about environments from multiplex video arrays. Anticipatory selection of screens by both the eyes and hands will enable us to quantify the learning process. The findings will advance theoretical understanding of representational coding schemes.

Data, stimuli and outputs will be added to this page as the project progresses.

 

Related previous publications

Stainer M.J., Scott-Brown, K.C. and Tatler B.W. (2013) ‘Looking for trouble: a description of oculomotor search strategies during live CCTV operation’. Frontiers in Human Neuroscience 7:615. doi: 10.3389/fnhum.2013.00615 Special Issue on Neuroscience perspectives on Security: Technology, Detection and Decision Making. [Paper]

Stainer M.J., Scott-Brown, K. C. and Tatler, B.W. (2013) ‘Behavioural biases when viewing multiplexed scenes: scene structure and frames of reference for inspection.’ Frontiers in Psychology 4:624. doi:10.3389/fpsyg.2013.00624 [Paper]

Scott-Brown, K. C. & Cronin P. D. J. (2008) ‘Detect the unexpected: A science for surveillance.’ Policing: An international Journal of Police Strategies and Management. 31 (3), 395-414. [Paper]

Scott-Brown, K. C. & Cronin, P. D. (2007) ‘An instinct for detection: Psychological perspectives on CCTV surveillance’. The Police Journal. 4, 287-305. [Paper]

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