Stereo vision system is a practical method for depth gathering of objects and features in an environment. This paper presents the region of interest in disparity mapping for stereo vision autonomous guided vehicle usi...
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ISBN:
(纸本)9780769538921
Stereo vision system is a practical method for depth gathering of objects and features in an environment. This paper presents the region of interest in disparity mapping for stereo vision autonomous guided vehicle using block matching algorithm. This region is a reference sight of the stereo camera and tereo vision baseline is based on horizontal configuration. The blockmatching technique is briefly described with the performance of its output. The disparity mapping is generated by the algorithm with the reference to the left image coordinate. The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software.
Global motion estimation (GME) plays an important role in many video application systems such as video coding system MPEG-4. However, its computational complexity is very high. Fast algorithms are needed. In this pape...
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ISBN:
(纸本)9781424450053
Global motion estimation (GME) plays an important role in many video application systems such as video coding system MPEG-4. However, its computational complexity is very high. Fast algorithms are needed. In this paper, we propose an improvement to the GME algorithm. We achieve this by introduce two techniques. Firstly, integral projection algorithm (IPA) is used to get first translation estimation and reduce block matching algorithm (BMA) search range. Secondly, coarsely block sampling technology directly reduces the computation complexity. GME composite performance experiments prove that our GME method only degrades -0.13dB in PSNR compared with the MPEG-4 verification model (VM), while it gets a 5.93ms per frame speed and is 73.3 times faster than the VM. Global motion compensation (GMC) coding experiments also show no loss of GME accuracy and compression efficiency compared to the MPEG-4 VM GME method.
Global motion estimation (GME) plays an important role in many video application systems such as video coding system ***,its computational complexity is very *** algorithms are *** this paper,we propose an improvement...
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Global motion estimation (GME) plays an important role in many video application systems such as video coding system ***,its computational complexity is very *** algorithms are *** this paper,we propose an improvement to the GME *** achieve this by introduce two ***,integral projection algorithm (IPA) is used to get first translation estimation and reduce block matching algorithm (BMA) search ***,coarsely block sampling technology directly reduces the computation *** composite performance experiments prove that our GME method only degrades-0.13dB in PSNR compared with the MPEG-4 verification model (VM),while it gets a 5.93ms per frame speed and is 73.3 times faster than the *** motion compensation (GMC) coding experiments also show no loss of GME accuracy and compression efficiency compared to the MPEG-4 VM GME method.
In this paper, an efficient algorithm for the fast full search is proposed to reduce the computational cost of block matching algorithm for motion estimation in video coding. Based on the characteristic of the pixel h...
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ISBN:
(纸本)9781424425709
In this paper, an efficient algorithm for the fast full search is proposed to reduce the computational cost of block matching algorithm for motion estimation in video coding. Based on the characteristic of the pixel histogram for the current macroblock, the proposed fast matching method adaptively sorts the matching order pixel-by-pixel for each macroblock. Also, partial distortion elimination (PDE) method was used to terminate the improper candidate macroblocks early after the process of multilevel successive elimination algorithm (MSEA). The varieties of test sequences were simulated and the experimental results demonstrate that the proposed algorithm achieves less computational load.
This paper addresses two issues related to motion estimation using the block matching algorithms (BMA): (1) determining the reliability of the motion vectors of each block, and (2) imposing smoothness constraint to th...
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ISBN:
(纸本)0819452114
This paper addresses two issues related to motion estimation using the block matching algorithms (BMA): (1) determining the reliability of the motion vectors of each block, and (2) imposing smoothness constraint to the motion vector field. We introduce a new robust reliability measure to represent the confidence level of the motion vector from the cost function distribution and propose a novel algorithm that incorporates smoothness constraint into the motion vector field evaluation by implementing a priority queue structure based on the reliability measure. In this framework, a smooth motion vector field is evaluated in a single pass without going through iterations typical of many existing optical flow estimation algorithms. Hence it is fast and can easily be incorporated into real-time applications for video compression as well as image segmentation.
Video tracking systems generally deal with non-rigid objects with various shapes and sizes. This often results in a poor match of an initial model with the actual input shape, and consequently causes the failure of tr...
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Video tracking systems generally deal with non-rigid objects with various shapes and sizes. This often results in a poor match of an initial model with the actual input shape, and consequently causes the failure of tracking. The robustness of the active shape model (ASM) enables video tracking systems to deal with such unpredictable inputs. The iterative nature of the ASM, however, makes real-time implementation difficult. A novel ASM-based real-time tracking method with particular relevance to non-rigid objects is proposed. The proposed tracking system adopts a hierarchical approach to reduce computational loads and increase immunity to noise. In order to make the system operate in real-time, a novel prediction approach is proposed that significantly reduces the number of iterations. In the sequential images, the initial feature points have been estimated using a block-matchingalgorithm. Kalman filtering has also been applied for increasing accuracy of the motion estimation. The proposed hierarchical, prediction-based approach is proven to outperform the existing methods in the sense of both tracking performance and convergence speed.
In the encoder of the national television system committee (NTSC) system, a composite video burst signal (CVBS) is generated using the luminance (Y) signal and the quadrature amplitude modulation (QAM) modulated chrom...
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In the encoder of the national television system committee (NTSC) system, a composite video burst signal (CVBS) is generated using the luminance (Y) signal and the quadrature amplitude modulation (QAM) modulated chrominance (C) signal. In the decoder, it is important that the CVBS be accurately separated into luminance and chrominance signals by a Y/C separation filter. Otherwise, various artifacts, such as dot crawl, rainbow effect, and color bleeding, appear in a decoded video, degrading the quality of the decoded video. In addition, modern high-definition television (HDTV) system suffers from outdated analog decoding artifacts when HDTV compression techniques were applied to the not ideally decoded former standard-definition format video images. This paper proposes artifact reduction methods of dot crawl and rainbow effect using the characteristics of the CVBS video. The proposed artifact reduction algorithms use two successive frames, in which the decoded video images are divided into not moving (stationary) and moving regions. The stationary regions are filtered by a temporal filter, whereas the moving regions are further classified into three subdivided regions of different types of artifacts to apply them into temporal or spatial filters because inappropriately temporally filtered moving region delivers jitters on the edge. In the proposed algorithms, considering characteristics of the NTSC decoded image, a block matching algorithm based on 4x4 non-overlapping blocks is used for motion estimation and compensation. Computer simulations with various simulated and real videos containing NTSC artifacts show the effectiveness of the proposed artifact reduction methods.
A merging procedure joining search pattern and variable block size motion estimation for H.264/AVC is proposed in this paper. The principal purpose of the proposed methods is the reduction of the computational complex...
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A merging procedure joining search pattern and variable block size motion estimation for H.264/AVC is proposed in this paper. The principal purpose of the proposed methods is the reduction of the computational complexity for blockmatching module. In fact, there are numerous contributions in the literature aiming the reduction of the computational cost needed for motion estimation. The best solution from a qualitative point of view is the full search that considers every possible detail. The computational effort required is enormous and this makes motion estimation by far the most important computational bottleneck in video coding systems. Our approach invests and exploits the center-biased characteristics of the real world video sequences, aiming to achieve an acceptable image quality while independently targeting the reduction of the computational complexity. The simulations results demonstrated that the proposal performs well.
Finding the global shape of a grasped object directly from touch is time consuming and not highly reliable. This paper describes the relationship between visual features and grasp planning, and correlates visual and t...
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ISBN:
(纸本)9789728865832
Finding the global shape of a grasped object directly from touch is time consuming and not highly reliable. This paper describes the relationship between visual features and grasp planning, and correlates visual and tactile information for a better description of the object's shape and grasping points determination. The grasping process proposed is experimented with a three fingered robotic hand.
In this paper, an efficient VLSI architecture of full-search variable block size motion estimation (VBSME) suitable for high quality video is proposed. Memory bandwidth in high-quality video is a mainly responsible fo...
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ISBN:
(纸本)9783540694281
In this paper, an efficient VLSI architecture of full-search variable block size motion estimation (VBSME) suitable for high quality video is proposed. Memory bandwidth in high-quality video is a mainly responsible for throughput limitations and power consumption in VBSME. The proposed architecture is designed for reducing the memory bandwidth by adopting "meander"-like scan for a high overlapped data of the search area and using on-chip memory to reuse the overlapped data. We can reuse the previous candidate block of 98% for the current one and save memory access cycles about 19% in a search range of [-32, +31]. The architecture has been prototyped in Verilog HDL and synthesized by Synopsys Design Compiler with Samsung 0.18um standard cell library. Under a clock frequency of 67MHz, The simulation result shows that the architecture can achieve the real-time processing of 720x576 picture size at 30fps with the search range of [-32-+31].
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