Autonomous ships are expected to improve the level of safety and efficiency in future
maritime navigation. Such vessels need perception for two purposes: to perform …

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

Person Re-identification (re-id) aims to match people across non-overlapping camera views
in a public space. It is a challenging problem because many people captured in surveillance …

As humans we possess an intuitive ability for navigation which we master through years of
practice; however existing approaches to model this trait for diverse tasks including …

This paper introduces a video representation based on dense trajectories and motion
boundary descriptors. Trajectories capture the local motion information of the video. A dense …

Computer vision has evolved in the last decade as a key technology for numerous
applications replacing human supervision. Timely detection of traffic violations and …

In this paper, a new Mixture model of Dynamic pedestrian-Agents (MDA) is proposed to
learn the collective behavior patterns of pedestrians in crowded scenes. Collective …

Society is rapidly accepting the use of video cameras in many new and varied locations, but
effective methods to utilize and manage the massive resulting amounts of visual data are …

Foreground detection methods can be applied to efficiently distinguish foreground objects
including moving or static objects from background which is very important in the application …

Collective motions are common in crowd systems and have attracted a great deal of
attention in a variety of multidisciplinary fields. Collectiveness, which indicates the degree of …