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Intelligent video surveillance analyzes image sequence automatically using method of computer vision and video analysis without human intervention to achieve detection, identification and tracking in the dynamic scene. A video surveillance system using bank as background is studied here, which is suitable for monitoring management of the bank system. It can transform the analog control system, make...
In this paper, we have designed and implemented an automated smart car system based on camera. With the Freescale MC9S12XS128 microprocessor as its control centre, the system is consisted of both Software and Hardware. At first, the system extracts the horizontal signal and vertical signal from the camera video signal through the LM1881 external circuit, and then the MCU acquires the real time road...
Bayesian network is an uncertainty inference network based on probability. Its structure learning is one of the main research techniques in the field of data mining and knowledge discovering, while constructing Bayesian network structures from data is NP hard. According to the information theory and conditional independence test, a new algorithm is presented for the construction of optimal Bayesian...
In this paper, we propose a fast and accurate video retrieval algorithm using random projections, an indexing structure and parallel computing. The video sequences are represented by low dimensional temporal trajectories in a set of low dimensional spaces through scaling and random projections. A kd-tree structure is used for efficient data access. We also develop an efficient retrieval algorithm...
One critical issue in wireless sensor networks is how to gather sensed information in an energy-efficient way since the energy is a scarce resource in a sensor node. In this paper, we propose an improved distributed clustering algorithm, which is called LEACH-W algorithm, In this algorithm, we extend low-energy adaptive clustering cluster-head selection algorithm by a factor with weight value deterministic...
H.264 adopts variable block size motion estimation and rate-distortion-optimization based mode decision to improve video quality and compression ratio. These techniques have made H.264 better than other existing video coding standards. However, they are computationally intensive and time-consuming. In this paper, a fast mode selection scheme is proposed for H.264 inter prediction. Firstly, the first...
The H.264 standard provides significantly high compression efficiency with multiple block size Motion Estimation adopted. However, the encoding time of Motion Estimation and Discrete Cosine Transform is dramatically increased as a result. An early mode decision algorithm is proposed in this paper to control the computation complexity. It derives a threshold to make mode decisions in advance. Experimental...
In recent years, various types of ad hoc routing protocols have been studied in the mobile ad hoc networks. Specifically, the clustering hierarchical routing algorithms have been developed to increase the system performance. Hierarchical structure has inevitably brought some drawbacks, maintaining the hierarchical structure needs more complicated cluster heads selection algorithm, which may result...
In order to evaluate the optimization efficiency of Genetic Algorithms (GA), this paper presents an efficiency evaluation criterion based on average optimization generation and time efficiency of GA, which not only can avoid infection evaluating the efficiency of GA on random factors commendably, but also consider the time firstly. So that it provides gist of evaluation criterion and theory for selecting...
H.264 adopts variable block size motion estimation and mode decision with rate-distortion optimization to improve video quality and decrease bit rate. However,these techniques increase the computation complexity and the encoding time enormously. An efficient macroblock level fast mode decision algorithm is proposed in this paper. Macroblocks which are likely to choose a large block size during mode...
Efficient indexing is a key in content-based video retrieval solutions. In this paper we propose a new dynamic indexing scheme based on the kd-tree structure. Video sequences are first represented as traces in an appropriate low dimensional space via luminance field scaling and PCA projection. Then, the indexing scheme is applied to give the video database a manageable structure. Being able to handle...
One important critical issue in wireless sensor networks is how to gather sensed information in an energy efficient way since the energy is a scarce resource in a sensor node. Clustering technique has been proven to be an effective approach for data-gathering in wireless sensor networks. However, these data are characteristic of being heavily noisy, exhibiting temporal and spatial correlation. Data...
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