Simultaneous Object Detection, Tracking, and Event Recognition

Andrei Barbu, N. Siddharth, Aaron Michaux, Jeffrey Mark Siskind

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Integrating information across modalities is a long-standing challenge for cognitive systems. The common internal structure and algorithmic organization of object detection, detection-based tracking, and event recognition facilitates a general approach to integrating these three components. This supports multidirectional information flow between these components allowing object detection to influence tracking and event recognition; and event recognition to influence tracking and object detection. The performance of the combination can exceed the performance of the components in isolation when inspecting the quality of the object tracks produced. We demonstrate this qualitatively on a number of videos which show how failures in each of the components are resolved when they are integrated together. This can be done with linear asymptotic complexity.
Original languageEnglish
Pages (from-to)203-220
Number of pages18
JournalAdvances in Cognitive Systems
Volume2
Publication statusPublished - 31 Dec 2012
EventFirst Annual Conference on Advances in Cognitive Systems - Palo Alto, United States
Duration: 6 Aug 20128 Aug 2012
http://www.cogsys.org/conference/2012/

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