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Tracking people across disjoint camera views. University of Technology Sydney, Australia, (2009)Detecting Major Segmentation Errors for a Tracked Person Using Colour Feature Analysis., and . ICIAP, page 524-529. IEEE Computer Society, (2007)Automatic camera placement for large scale surveillance networks., , , , , , , and . WACV, page 1-6. IEEE Computer Society, (2009)Tracking people across disjoint camera views by an illumination-tolerant appearance representation., , and . Mach. Vis. Appl., 18 (3-4): 233-247 (2007)Surprisal-aware scheduling of PTZ cameras., , , , , and . ICDSC, page 1-8. IEEE, (2009)A framework for determining overlap in large scale networks., , , , , and . ICDSC, page 1-8. IEEE, (2009)Measuring Latency for Video Surveillance Systems., , , , and . DICTA, page 89-95. IEEE Computer Society, (2009)A framework for track matching across disjoint cameras using robust shape and appearance features., and . AVSS, page 188-193. IEEE Computer Society, (2007)Visualising Internet Traffic Data with Three-Dimensional Spherical Display., , and . APVIS, volume 45 of CRPIT, page 153-158. Australian Computer Society, (2005)Comparison of Techniques for Mitigating the Effects of Illumination Variations on the Appearance of Human Targets., , and . ISVC (2), volume 4842 of Lecture Notes in Computer Science, page 116-127. Springer, (2007)