Performance analysis framework for embedded video-tracking systems

Douglas Scott

doi:10.1117/12.884224

13 May 2011 Performance analysis framework for embedded video-tracking systems

Douglas Scott

Proceedings Volume 8052, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXV; 80520C (2011) https://doi.org/10.1117/12.884224
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

Video tracking architectures for small low-power embedded systems are severely constrained by their limited processing capacity and must therefore be highly optimized to meet modern performance requirements. Consequently the various design trade-offs have a direct and significant impact on the overall system performance. The evaluation is based on a test framework and a set of metrics for defining tracking performance. Well-known metrics appropriate to multi-target video-tracking applications have been selected to provide a generalized and meaningful characterisation of the system and also to allow easier comparison with other video tracking algorithms. The selected set is extended further with additional architecture-specific metrics to extract a finer level of granularity in the analysis and support embedded system issues. The tracking system is evaluated within the test framework using a broad spectrum of real and synthetic video imagery across multiple scenarios. In each case the embedded systems are required to robustly track multiple targets and accurately control the sensor platform in real-time. The key focus (hence the requirement for a rapid design and test cycle) is on evaluating the different system behaviours through testing and then analysing the results to identify how the various design methodologies affect the overall performance. We briefly compare some analysis of the tracking performance between two different types of internal track processes we frequently use.

Citation Download Citation

Douglas Scott "Performance analysis framework for embedded video-tracking systems", Proc. SPIE 8052, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXV, 80520C (13 May 2011); https://doi.org/10.1117/12.884224

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KEYWORDS

Video

Embedded systems

Detection and tracking algorithms

Sensors

Video processing

Analytical research

Automatic tracking

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