Multi-sensor tracking using a scalable condensation filter
Denman, Simon, Lamb, Todd, Fookes, Clinton B., Sridharan, Sridha, & Chandran, Vinod (2007) Multi-sensor tracking using a scalable condensation filter. In Wysocki, Beata J. & Wysocki, Tadeusz A. (Eds.) Proceedings of the International Conference on Signal Processing and Communication Systems 2007, DSP for Communication Systems, Radisson Resort, Gold Coast, Queensland, pp. 429-438.
Surveillance and tracking systems typically use a single colour modality for their input. These systems work well in controlled conditions but often fail with low lighting, shadowing, smoke, dust, unstable backgrounds or when the foreground object is of similar colouring to the background. With advances in technology and manufacturing techniques, sensors that allow us to see into the thermal infrared spectrum are becoming more affordable. By using modalities from both the visible and thermal infrared spectra, we are able to obtain more information from a scene and overcome the problems associated with using visible light only for surveillance and tracking. Thermal images are not affected by lighting or shadowing and are not overtly affected by smoke, dust or unstable backgrounds. We propose and evaluate three approaches for fusing visual and thermal images for person tracking. We also propose a modified condensation filter to track and aid in the fusion of the modalities. We compare the proposed fusion schemes with using the visual and thermal domains on their own, and demonstrate that significant improvements can be achieved by using multiple modalities.
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|Item Type:||Conference Paper|
|Additional Information:||The contents of that proceedings can be freely accessed via the conference website (see Official URL).|
|Keywords:||Object Tracking, Multi-Spectral, Fusion, Thermal Imaging, Particle Filters|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)|
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2007 DSP for Communication Systems|
|Deposited On:||16 Mar 2010 08:58|
|Last Modified:||01 Mar 2012 00:12|
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