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With the proliferation of Internet of Things (IoT) devices such as smartphones, sensors, cameras, and RFIDs, it is possible to collect massive amount of data for localization and tracking of people within commercial buildings. Enabled by such occupancy monitoring capabilities, there are extensive opportunities for improving the energy consumption of buildings via smart HVAC control. In this respect,...
Activity monitoring, a crucial task in many applications, is often conducted expensively using video cameras. Effectively monitoring a large field by analyzing images from multiple cameras remains a challenging issue. Other approaches generally require the tracking objects to attach special devices, which are infeasible in many scenarios. To address the issue, we propose to use RF tag arrays for activity...
This paper presents a model of monitoring method in videos and imagines. In the case of a fixed camera, when moving object appears, all data indicating object movement will change greatly. The real moving target will be detected after processing the data which larger change. The accuracy and instantaneity of will be tested by MATLAB stimulation.
We present an investigation of a new, inexpensive depth camera device, the Microsoft Kinect, for passive fall risk assessment in home environments. In order to allow older adults to safely continue living in independent settings as they age, the ability to assess their risk of falling, along with detecting the early onset of illness and functional decline, is essential. Daily measurements of temporal...
In this study, a vision monitoring system that is applicable to the maintenance of data centers was developed and applied to data center status extraction. The vision monitoring system, which is intended to complement system monitoring tools, such as IPMI and Nagios, has the additional benefit of enabling continuous monitoring of the external status of data centers. This system, which is based on...
In this paper, we present a method for extracting footfall locations from three dimensional voxel data created from a pair of silhouettes. With the growth of the elderly population, there is a need for passive monitoring of physical activity to allow older adults to continue living in independent settings. Prior research using anonymized video data has shown good results in passively acquiring information...
Collisions often occur because the area behind a car is not clearly visible in the dark. In this paper, we propose a system to measure the distance between the rear of the car and a target behind it in order to reduce the number of these accidents. Because it is expensive and time-consuming to develop new devices, this system uses a factory-installed monocular camera, brake light, and tail light that...
Presently researches in networked surveillance system grow continuously and substantially. One reason is because of the insecurity incidents such as terrorism acts in Thailand and many countries around the world. This results in the need of intelligent surveillance and monitoring system consisting of real-time image capture, transmission, processing, and surveillance information understanding. This...
In some public places such as super market and school, increasing people became too crowed sometime. In this paper, we find a solution to monitor the video and analyze the data automatically. It helps to get warnings before the people becoming too crowded. In order to acquire the real-time images to analysis the people's movement trends, system sends the warning to administrator in time by calculating...
Studying animal movement and distribution is of critical importance to addressing environmental challenges including invasive species, infectious diseases, climate and land-use change. Motion sensitive camera traps offer a visual sensor to record the presence of a species at a location, recording their movement in the Eulerian sense. Modern digital camera traps that record video present new analytical...
This paper reports on the first steps taken in search of a solution that uses public video streams available on the Internet to address the increasing need for monitoring transportation networks with the intent of returning added value to the community, either by allowing a better understanding of the network and its needs or by feeding applications with real-time information for various purposes,...
Autonomous systems situated in the real world often need to recognize, track, and reason about various types of physical objects. In order to allow reasoning at a symbolic level, one must create and continuously maintain a correlation between symbols labeling physical objects and the sensor data being collected about them, a process called anchoring. In this paper we present a stream-based hierarchical...
Vessel dynamics video monitoring system is one of the most significant components in port safety and traffic management. This paper intends to discuss the key points in the design of the system: firstly, the data concerning vessel dynamics position are acquired via AIS; then intelligent video tracking system automatically drives intelligent spherical cameras to monitor vessels in port. Also system...
The ambitious goals of autonomic management require complex, adaptable processing capabilities that prove extremely difficult to conceive and implement. This paper proposes a solution for the opportunistic integration of specialised autonomic management resources, so as to obtain complex, adaptable management strategies. The paper introduces an architecture that follows the proposed solution and provides...
Significant declines in quality of life for elders in assisted living communities are typically triggered by health events. Given the necessary information, such events can often be predicted, and thus, be avoided or reduced in severity. Statistics on activities of daily living and activity level over an extended period of time provide important data for functional assessment and health prediction...
Technologies that track a specific person as they traverse a network of surveillance cameras can be used as the basis for a multitude of video surveillance applications including mass transit monitoring, large venue security, building security, and the like. In order to continue supporting the development robust people tracking technologies, the first AVSS Multiple Camera Person Tracking (MCPT) Challenge...
We propose an adaptive tracking system for assisted living that integrates user information about emergency events. Information fusion between user data and visual data is performed in order to estimate and assess the situation at hand. The system is able to dynamically switch between different segmentation and tracking algorithms improving its performance, as shown by the proposed examples.
Artificial vision provides a remarkable good sensor when developing applications for intelligent spaces. Cameras are passive sensors that supply a great amount of information and are quite cheap. This paper presents an application for elderly care that detects falls or faints and automatically triggers the health alarm. It promotes the independent lifestyle of elder people at their homes as the monitoring...
Deployments of camera security systems are capable of capturing long data sequences about human activity. This paper deals with processing of detected sequences at a more macroscopic level to detect chains of events based on a prior given specification. In our problem, sensed interactions between people are modeled as sequences of pairwise events that are interleaved with other interactions taking...
An autonomous Internet Protocol (IP) camera based object tracking and behaviour identification system, capable of running in real-time on an embedded system with limited memory and processing power is presented in this paper. The main contribution of this work is the integration of processor intensive image processing algorithms on an embedded platform capable of running at real-time for monitoring...
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