Abstract
Humans are visual explorers. Human vision is a highly dynamic process. Consider our instinctive reaction to every sudden change. Each change may be inconsequential; but it may also be vitally important. We inspect the world of objects and events with rapid eye movements, which consist of frequent gaze shifts at two to four fixations per second. During a fixation period, the underlying neural processes are updated in less than half a second (Öğman H and Breitmeyer BG, eds. (2006) The First Half Second. The MIT Press). Subconscious motion perception enables us to perceive motion patterns, correlated or anomalous events in our surrounding environment. Human vision is by far the best computer in our everyday life. In this chapter, we explore how to map spatiotemporal data into motion pictures, and how to incorporate human perceptions in pattern discovery in motion and events.
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Notes
- 1.
Öğman H and Breitmeyer BG, eds. (2006) The First Half Second. The MIT Press.
- 2.
The National Air and Space Museum (2015) Finding Pluto with the Blink Comparator. http://blog.nasm.si.edu/planetary-science/blink-comparator/
- 3.
Zheng Y (2015) Trajectory Data Mining: An Overview. ACM Transactions on Intelligent Systems and Technology. http://research.microsoft.com/pubs/241453/TrajectoryDataMining-tist-yuzheng_published.pdf
- 4.
Cleveland, WS (1985). The elements of graphing data. Wadsworth, Inc. 1985
- 5.
Wertheimer M (1912) Experimentelle Studien über das Sehen von Bewegung [Experimental Studies on Motion Vision]. Zeitschrift für Psychologie 61 (1): 161–265. Retrieved on Feb. 12, 2016: http://gestalttheory.net/download/Wertheimer1912_Sehen_von_Bewegung.pdf
- 6.
Delay Line and Radar: http://www.computerhistory.org/revolution/memory-storage/8/309
- 7.
Delay Line Memory: US Patent 2629827: http://www.google.com/patents/US2629827
- 8.
RANSAC Tutorial from CSAIL, MIT. Retreived on Feb. 12, 2016: http://saturday.csail.mit.edu/fa12/lectures/lecture13ransac/lecture13ransac.pdf
- 9.
Marr D (1982) Vision, the MIT Press
- 10.
Common Code Theory, WikiPedia. Retrieved on Feb. 12, 2016: https://en.wikipedia.org/wiki/Common_coding_theory
- 11.
Eddy W and Oue S (1995) Dynamic three-dimensional display of U.S. Air Traffic. Journal of Computational and Graphical Statitics, Vol.4, No.4, pp. 261–280, 1995
- 12.
Collision Detection (2003). http://www.edenwaith.com/products/pige/tutorials/collision.php
- 13.
Eddy FW and Mockus (1994) Anexample of the estimation and display of a smoothy varying function of time and space – The incidence of the disease mumps. Journal of the American Society for Information Science. 45(9):686–693, 1994
- 14.
Eddy FW and Oue S (1995) Dynamic three-dimensional display of U.S. Air Traffic. Journal of Computational and Graphical Statitics, Vol.4, No.4, pp. 261–280. 1995
- 15.
Emotiv EPOC and TestBench™ Specifications (2014). https://emotiv.com/product-specs/Emotiv\%20EPOC\%20Specifications\%202014.pdf
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Cai, Y. (2016). Perceiving Motion Patterns. In: Instinctive Computing. Springer, London. https://doi.org/10.1007/978-1-4471-7278-9_7
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DOI: https://doi.org/10.1007/978-1-4471-7278-9_7
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