Smart surveillance system refers to video level processing techniques for identification of unwanted (terrorist) faces from real time video. Video object segmentation is an important part of real time surveillance system. For any video segmentation algorithm to be suitable in real time, must require less computational load. The work presented here is divided into two main parts: (1) Face Detect...

One of the main concerns of the wide use of video surveillance is the loss of individual privacy. Individuals who are not suspects need not be identified on camera recordings. Mechanisms that protect the identity while ensuring legitimate security needs are necessary. Selectively encrypting regions that reveal identity (e.g., faces or vehicle tags) are necessary to preserve individuals’ right t...

We propose a video representation, the Video Scene Trajectory, computed from localised temporal-change in order to capture the holistic action content in a sequence. Such a representation is critical for action based genres such as surveillance. We show that an analysis of the trajectory shape is able to produce a temporal segmentation. Furthermore, we build an action based video summary using ...

This paper tackles the problem of surveillance video content modelling. Given a set of surveillance videos, the aims of our work are twofold: firstly a continuous video is segmented according to the activities captured in the video; secondly a model is constructed for the video content, based on which an unseen activity pattern can be recognised and any unusual activities can be detected. To se...

The reordering window in PPS introduces latency, however, and this latency might be problematic for video surveillance applications, which stream live video. In live video streaming, the latency characteristics of the streaming mechanisms partially determine the freshness of the video content. The freshness of the video content, which is measured by the end-to-end latency from a frame being cap...

Video-surveillance systems are currently undergoing a transition from traditional analog solutions to digital ones. This paradigm shift has been triggered by technological advances as well as increased awareness of the need for heightened security in particular vertical markets such as government and transportation. Compared with traditional analog videosurveillance systems, digital video-surve...