Intelligent multi-camera video surveillance is a multidisciplinary field related to computer
vision, pattern recognition, signal processing, communication, embedded computing and …

This review article surveys extensively the current progresses made toward video-based
human activity recognition. Three aspects for human activity recognition are addressed …

Person re-identification, ie, recognizing a single person across spatially disjoint cameras, is
an important task in visual surveillance. Existing approaches either try to find a suitable …

In this paper, we present an appearance-based method for person re-identification. It
consists in the extraction of features that model three complementary aspects of the human …

The field of surveillance and forensics research is currently shifting focus and is now
showing an ever increasing interest in the task of people reidentification. This is the task of …

This work proposes a method to characterize the appearance of individuals exploiting body
visual cues. The method is based on a symmetry-driven appearance-based descriptor and a …

This paper presents a survey of trajectory-based activity analysis for visual surveillance. It
describes techniques that use trajectory data to define a general set of activities that are …

Visual surveillance is an active research topic in image processing. Transit systems are
actively seeking new or improved ways to use technology to deter and respond to accidents …

The desirability of being able to search for specific persons in surveillance videos captured
by different cameras has increasingly motivated interest in the problem of person re …

In this paper, we propose a novel appearance-based method for person re-identification,
that condenses a set of frames of the same individual into a highly informative signature …