Mohammad Ali Saghafi

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In this paper a brief review of appearance-based methods of re-identification in surveillance systems is presented. Previous work involving various parts of re-identification task is discussed and described. The paper concludes in term of re-identification challenges and future work direction.
Person re-identification across different surveillance cameras with disjoint fields of view has become one of the most interesting and challenging subjects in the area of intelligent video surveillance. Although several methods have been developed and proposed, certain limitations and unresolved issues remain. In all of the existing re-identification(More)
Brain CT images are very useful in diagnosis of cerebrovascular accidents (CVA). These images contain too many information. But most of the times, provided information is contaminated by noise and suffer from poor contrast. On the other hand, there are certain parts of the brain image that is really important to radiologist, while other image details are(More)
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