Human facial shapes undergo significant variations from infancy to teenage, while they change limitedly as people age into adulthood. In this paper, facial shapes of males across ages using Euclidean distances are stu...
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Human facial shapes undergo significant variations from infancy to teenage, while they change limitedly as people age into adulthood. In this paper, facial shapes of males across ages using Euclidean distances are studied and a D-A standard (Distance related to Ages) is proposed for this purpose. Further, we determine the distance features that significantly contribute to the aging face recognition. Experimental results using the MORPH database containing age separated facial images are encouraging and illustrate Euclidean distance features improve the performance of face recognition across ages.
This paper is about a vision-based system that automatically monitors intermodal freight trains for the quality of how the loads (containers) are placed along the train. An accurate and robust algorithm to segment the...
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In this paper, we discuss two kinds of VQ algorithms. One is based on minimizing the total variance and the other is based on minimizing the maximum deviation. The algorithms of the first kind better reflect the overa...
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In this paper, we discuss two kinds of VQ algorithms. One is based on minimizing the total variance and the other is based on minimizing the maximum deviation. The algorithms of the first kind better reflect the overall fit, but may discount large, but highly localized, deviations. Those of the second kind provide absolute distance bounds that are a useful error guarantee, but may be overly sensitive to any noise that might be present in the original models. A new algorithm, combining the two criteria, is presented in this paper. It not only improves the total variance, but also provides a useful maximum error guarantee. The experiments indicate the new quantizer is a better choice in some practical operations.
In this paper, we introduce methods to extract low-level features for soccer video analysis. A new method is proposed to segment players by using a mean distributed color feature. In order to discriminate which team t...
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ISBN:
(纸本)0780390059
In this paper, we introduce methods to extract low-level features for soccer video analysis. A new method is proposed to segment players by using a mean distributed color feature. In order to discriminate which team the player belongs to, we use mutual chromatic correlation degree of players to identify team without extracting templates of players in advance. Experimental results are included to show the effectiveness of the method.
Human matching between different fields of view is a difficult problem in intelligent video surveillance;whereas fusing multiple features has become a strong tool to solve it. In order to guide the fusion scheme, it i...
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In this paper, a self-attention-based Vision Transformer (VIT) method is introduced into estimate human head pose parameters. Firstly, the head pose image is divided into 32X32 patches, each image patch is regarded as...
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Many vision-related processing tasks, including edge detection and image segmentation, can be performed more easily when all objects in the scene are in good focus. However, in practice, this may not be always feasibl...
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Knowing the locations of nodes in wireless sensor networks (WSN) is essential for many applications. Nodes in a WSN can have multiple capabilities and exploiting one or more of the capabilities can help to solve the l...
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Knowing the locations of nodes in wireless sensor networks (WSN) is essential for many applications. Nodes in a WSN can have multiple capabilities and exploiting one or more of the capabilities can help to solve the localization problem. In this paper, we assume that each node in a WSN has the capability of distance measurement and present a location computation technique called linear intersection for node localization. We also propose an applied localization model using linear intersection and do some concerned experiments to estimate the location computation algorithm.
DSP/FPGA-based parallel architecture oriented to real-time imageprocessing applications is presented. The architecture is structured with high performance DSPs interconnected by FPGA. Within FPGA a FIFO interconnecti...
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An efficient I-frame R-Q model is still needed by the rate control in the latest H.264/AVC video coding standard. Some recent works introduced the gradient-based image complexity measure into the frame-layer intra rat...
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An efficient I-frame R-Q model is still needed by the rate control in the latest H.264/AVC video coding standard. Some recent works introduced the gradient-based image complexity measure into the frame-layer intra rate estimation in H.264/AVC, but the issue at the macroblock layer was not discussed. We propose a new edge-based complexity measure for this bit rate estimation problem at both the frame-layer and the macroblock-layer. The LOG operator is used in the edge extraction and an adaptive threshold selection method is proposed. The experiments show that the proposed edge-based measure has a good linear relation with the intra frame bit rate.
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