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The area of video process pertaining to analysis of the real-time object behaviour is increasing in its pace. However, such process is also accompanied by various critical challenges e.g. variation in illumination condition, complete or partial occlusion, and uncertain mobility of the object. Although, in the last decades there has been archives of research papers discussing about the object detection,...
In this paper, we propose a computationally efficient fall detection algorithm which exploits visual observations. The proposed architecture is designed to be suitable for devices of low processing capabilities allowing a large scale implementation of the proposed IT technology in the area of aiding elderly or persons' with dementia. In contrast to other approaches, visual surveillance is more natural...
Traditional background subtraction methods perform poorly at night. In this paper, a robust method is proposed for automatic visual surveillance in low-light level environment which has quality problems of low brightness, low contrast and high-level noise. The novel method includes techniques of illumination compensation and illumination-invariant background subtraction to solve the low-quality problem...
The proposed technique addresses a fusion method of two imaging sensors on pixel-level. The fused image will provide a scene representation which is robust against illumination changes and different weather conditions. Thus, the combination of the advantages of each camera will extend the capabilities for many computer vision applications, such as video surveillance and automatic object recognition...
Aim of this work is to propose a robust solution to the correspondence problem in multi-camera systems applied to video surveillance. The proposed system merges two different approaches: Self Organizing Map (SOM) and feature based corresponding analysis. The novelty of this work consists of the used approach and the ability to work without the assumption of epipolar geometry. The proposed approach...
Event detection is an important research in video surveillance technology. This paper proposed a method for traffic event detection based on visual Mechanism on the background of traffic video surveillance applications. In this method, based on the extraction of video target motion characteristics, it extracted abnormal targets mainly through the features merging and significant competitive in video...
This paper presents a video summarization method to visualize the video object trajectories across multiple cameras in a static image for monitoring the movements of suspicious people in a building. First, we have designed an object association algorithm across multiple stationary cameras, which can be used to build the object trajectories in the building with the assistants of the predefined locations...
This paper presents a new descriptor for object categorization and pedestrian identification applications. One of the main drawbacks of shape-context descriptor is its vulnerability and distinctness to color images. We propose a spherical descriptor that simultaneously adopts the spatial and color information as a discriminative representation. Based on the descriptor, this paper also contributes...
Commonly, surveillance operators are today monitoring a large number of CCTV screens, trying to solve the complex cognitive tasks of analyzing crowd behavior and detecting threats and other abnormal behavior. Information overload is a rule rather than an exception. Moreover, CCTV footage lacks important indicators revealing certain threats, and can also in other respects be complemented by data from...
An active camera, i.e., pan-tilt-zoom camera, can monitor a large area and the detail of a target. Therefore, it is popularly used in recent studies related to intelligent surveillance systems. A novel dual-PTZ-camera surveillance system called ldquoEagle-Eyerdquo is proposed in this paper. The view of the system is designed to imitate an eagles eye. That is, the system can keep monitoring the whole...
Multiple object association is an important capability in visual surveillance system with multiple cameras. An association approach using the limits of field of View (FOV) of cameras is well accepted but this approach has to wait until the object crosses the limits for association. Also, FOV information has to be determined whenever the setup of camera is changed. Our approach is to dynamically generate...
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