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Robust Observation Detection for Single Object Tracking: Deterministic and Probabilistic Patch-Based Approaches
2012
Sensors
In video analytics, robust observation detection is very important as the content of the videos varies a lot, especially for tracking implementation. Contrary to the image processing field, the problems of blurring, moderate deformation, low illumination surroundings, illumination change and homogenous texture are normally encountered in video analytics. Patch-Based Observation Detection (PBOD) is developed to improve detection robustness to complex scenes by fusing both feature-and
doi:10.3390/s121115638
pmid:23202226
pmcid:PMC3522979
fatcat:gvfijn2yjvfydhhzc5rpogmpee