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Recently, the researches about the video surveillance for constructing a safety environment and ecological investigation are highly demanded. In the video surveillance, the PTZ cameras are often applied to extract the close-up views by controlling the pan, tilt, and zoom operations in a large area. In this study, we develop a robust and amphibious target tracking with single PTZ camera in which the...
Ghosting artifact resulted from angular undersampling is a major issue of light field rendering. In this paper, we propose an anti-aliasing method that compensates the effect of undersampling by making use of depth information. It can be incorporated into most existing refocusing algorithms to render high-quality images from light field. The method yields proper anti-aliasing across all depth range...
Location identification is an essential module for robot patrolling. Robots follow the planed routes for security patrolling. It spends much computational time for identifying the robot location in the traditional image-based methods during the patrolling process. In this paper, a fast robot patrolling framework is proposed by integrating sensor data and image features. In the sensor-based module,...
Compressive sensing is a signal processing technique that takes advantage of signal sparseness in some domain. To use compressive sensing, a domain in which the signal is represented as a few significant coefficients should be defined. If the proper domain is identified as a set of basis vectors, the coefficients are the projections of the signal on the basis vectors. This is typically a transformation...
Social network analysis is a popular topic in social science. However, it needs a lot of human labor to get the information in psychological analysis. In this paper, we propose a multi-camera based evaluation system which can automatically track and recognize the human activities in an environment, and then build the corresponding social network and personality graphs. The proposed system contains...
In this paper we propose a low-complexity image stitching algorithm. By using the developed algorithm, users can automatically merge images into a panoramic image, even these source images have rotation and zooming actions. We adopt feature-base estimation to get the relation between images and employ down-sampling to reduce computing complexity. We also apply a copy-paste and texture-base scheme...
With the maturity of digital camera technology, it is feasible to form an array of cameras. The major usage of a camera array is to acquire different views of a scene in one shot. The captured data can be used to analyze the depths of the objects. Once we have the 3D model, we can synthesize virtual views, relight the scene, etc. The potential applications are virtual reality and augmented reality...
This paper proposes an object-based video recording system, which can track and record the behavior of the moving objects under multiple distributed cameras with non-overlapping views. The object relationship among cameras is trained by using batch-learning procedure, and all probability matrixes are updated constantly for the long-term monitoring. While tracking the object moving across different...
Videos are an important source of information and require extremely computation expensive analysis in order to understand the high level semantics. The computational difficulties in extracting embedded information and bridging the semantic gap present the major challenges in interoperability, scalability and real-time response of video analytic systems. In this paper, we propose an intelligent video...
This work proposes a surveillance system based on a multi-cameras configuration. The proposed system is organized in a distributed network, and each subnet of the network contains the static cameras in charge of monitoring of global view and active cameras for tracking target closely to get more information. The managing agents control all the static and active cameras in the subnet when tracking...
In computer vision, an active vision source is a sensor that explores its environment in an active way, deciding to investigate parts of the environment in greater depth based on what it currently sees. We study the problem of determining the rate required to compress the output of an active vision source to within a desired fidelity. In order to make the problem analytically tractable, we assume...
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