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A real-time monocular vision based rear vehicle and motorcycle detection and tracking approach is presented for lane change assistant (LCA). To achieve robustness and accuracy this work detects and tracks multiple vehicles and motorcycles on road by combining multiple cues. To achieve real-time multi-resolution technology is used to reduce computing complexity, and all algorithms have been implemented...
Compression of encrypted data can be achieved by employing Slepian-Wolf coding (SWC). However, how to efficiently exploit the source dependency in an encrypted colored signal such as an image remains a challenging issue. Previous works incorporate 2-D Markov models in the SWC, which is not accurate enough for natural grayscale images; as a result, the compression performance is usually poor. In this...
A semiconductor navigation system based on Scanning Electron Microscope has been developed to fast locate the smallest defects which can bring wafer production to a waster. The mainly parts of the navigation system are pattern acquisition model and scanning model. The pattern acquisition model is made up of an Analog-to-Digital Convertor, a CPLD and a Static RAM. The electron-beam is controlled by...
Since texture describes the local information of pixels' intensity variation, which can be regarded as the non-linear signals, non-linear signal analysis methods may be applied to texture analysis. Complexity analysis, as a popular non-linear signal analysis approach, is widely used for biological and clinical data analysis. In this paper, for exploring study purpose, a two-dimensional structure complexity...
Feature extraction is a key point of pattern recognition. Wavelet features are attractive for vehicle detection because they form a compact representation, encode edges, capture information from multi-resolution, and can be computed efficiently. This paper concerns the improvement of wavelet features. Currently, the wavelet features directly based on signed coefficients are easily affected by the...
The purpose of image fusion is to combine information from several different source images to one image, which becomes reliable and much easier to be comprehended by people. Based on analyzing the relations of average and standard deviation of the two or more source images, a new strategy to improve image fusion effect and a new evaluation measure named RAS (the ratio between average and standard...
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