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We present a method for improving human segmentation results in calibrated, multi-view environments using features derived from both pixel (image) and voxel (volume) space. The main focus of this work is to develop a low-cost, vision-based system for passive activity monitoring of older adults in the home, to capture early signs of illness and functional decline and allow seniors to live independently...
The main constrained problem of the video monitoring and storage system is the contradiction between large field of view and storage space limitations. Not all of the video information introduced by the image sensors need to be recorded especially for some tracking system which has appointed functions to track specifically kinds of targets. For instance, if the monitor is appointed for human face...
A video quality monitoring system for in-service monitoring of videos is described in this paper. The technologies developed include a no-reference method for blockiness measurement that exploits the characteristics of human visual system using the concept of just-noticeable-difference. This approach works even for scenario where the blockiness is not at known fixed locations. To provide a complete...
Elderly people are the most growing segment of the population. Most of the elderly people like to live an independent life at their own homes in a familiar environment. Living alone is not always safe, and often emergency situations like a fall and unconsciousness occur. We present an ambient assistant living system Altcare, based on static network video cameras. The Altcare automatically learns the...
With the increasing of public safety demand, monitoring system has been used widely. However, there are not many mature passenger flow counting systems in the market, because the system's key problem has not been satisfactory resolved. In this paper, the key algorithms in this system are discussed. The main algorithms have been improved, such as: the extraction of human, the segmentation of crowd...
In this work, we study how continuous video monitoring and intelligent video processing can be used in eldercare to assist the independent living of elders and to improve the efficiency of eldercare practice. More specifically, we construct an advanced silhouette extraction and tracking algorithm for indoor environments. An adaptive learning method was developed to estimate the physical location and...
With the expansion of the transportation volume at sea, maritime search and rescue became an enormous task. To improve the rate of life saving, this paper puts forward a vision enhancement system based on infrared video for the maritime search and rescue. A method is proposed for detecting and tracking targets at sea. Based on the characteristics of infrared image and the sea environment, we combine...
In this paper, we present a novel person detection system for public transport buses tackling the problem of changing illumination conditions. Our approach integrates a stable SIFT (scale invariant feature transform) background seat modeling mechanism with a human shape model into a weighted Bayesian framework to detect passengers on-board buses. SIFT background modeling extracts local stable features...
An effective video surveillance system relies on the detection of suspicious activities. In recent times, there has been an increasing focus on detecting anomalies in human behaviour using surveillance cameras as they provide a clue to preventing breaches in security. Human behaviour can be termed as suspicious when it is uncommon in occurrence and deviates from commonly understood behaviour within...
Video cameras are a relatively low-cost, rich source of information that can be used for ldquowell-beingrdquo assessment and abnormal event detection for the goal of allowing elders to live longer and healthier independent lives. We previously reported a soft-computing fall detection system, based on two levels from a hierarchy of fuzzy inference using linguistic summarizations of activity acquired...
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