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Intersection control plays very important roles in the urban traffic. However, most intersection control using stationary signal-timing plan. It is very hard to get the optimal signal-timing plan based on the real traffic condition. In this paper, a novel agent-based intersection control method for urban traffic is proposed. All the urban traffic entities are abstracted to agent models. The real traffic...
The compute simulation technology plays a key role in developing Intelligent Transportation System (ITS). The agent-oriented technology provides the advantage in modeling the system and reflecting the ITS components' interactive and self-managing behavior than the conventional simulation technologies. In this paper, a multi-agent traffic simulation system is presented and implemented in NetLogo platform...
Distributed compressed sensing (DCS) shows great potential in reducing data acquisition in multiple frame. The images from multiple frame are highly related with each others. The efficiency of recovering these images is poor without taking the high correlation of multiple frame images into account. A novel reconstruction algorithm based on distributed compressed sensing is proposed. In order to take...
Keeping the camera long time proper functioning without tamper is the fundamentally requirement of a video surveillance system. Traditional camera tamper detection is applied by surveillance system operators. It's large human resource consuming and inefficiency. In this paper, a SIFT-based automatic camera tamper detection algorithm for video surveillance is proposed. When camera tamper occurred,...
This paper presents an improved alternating direction method (IADM) algorithm for robust principal component analysis (RPCA) optimization problem. Firstly distortion compensation technique is employed to convert 2-D real nature image to the sparse approximation matrix. Secondly an improved Singular Value Decomposition (block-SVD) is presented to converge to the better value than traditional alternating...
A ripe tomato recognition and localization system for tomato harvesting robotic systems in greenhouse is developed. The ripe tomato is segmented by K-means clustering using the L*a*b* color space. To extract a single ripe tomato, mathematical morphology is used to denoise and handle the situations of tomato overlapping and sheltering. Tomato's shape features are combined with the color features to...
A robotic system for harvesting tomatoes in greenhouses is designed. Effective recognition of ripen tomatoes from complex background is the key technology of the harvesting robotic system. In this work, the color feature of ripen tomatoes is employed. The ripen tomato is segmented by K-means clustering using the L*a*b* color space. To extract a single integrity ripen tomato, mathematical morphology...
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