Pedestrian detection is important in the computer vision field. In the nighttime, pedestrian detection is even more valuable. In this paper, we address the issue of detecting pedestrians in video streams from a moving...
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Pedestrian detection is important in the computer vision field. In the nighttime, pedestrian detection is even more valuable. In this paper, we address the issue of detecting pedestrians in video streams from a moving camera at nighttime. Most nighttime human detection approaches only use single feature extracted from images. The effective image features in daytime environment may suffer from textureless, high contrast and low light problems at night. To deal with these issues, we first segment the foreground by using the proposed Smart Region Detection approach to generate candidates. Then we design a nighttime pedestrian detection system based on the AdaBoost and the support vector machine (SVM) classifiers with contour and histogram of oriented gradients (HOG) features to effectively recognize pedestrians from those candidates. Combining different type of complementary features improve the detection performance. Results show that our pedestrian detection system is promising in the nighttime environment.
No-reference quality evaluation is more difficult because it does not refer to any image. However, in some cases, like virtual view images, can not find the reference image, no-reference method had to be used. With th...
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ISBN:
(纸本)9781612841618
No-reference quality evaluation is more difficult because it does not refer to any image. However, in some cases, like virtual view images, can not find the reference image, no-reference method had to be used. With the free viewpoint video technology development and application, measuring the performance of the multiview video system is essential and virtual view image quality evaluation is one of the key technologies in the system. The characteristic of virtual view image quality evaluation is that most of the virtual view images haven't reference images and can't be assessed using general measures such as PSNR of full-reference. Therefore, this paper proposed a no-reference image quality evaluation method based on image power spectrum. Experimental results show that the proposed method is consistent with PSNR.
Multi-view depth estimation is an important part in the virtual view synthesis and depth map coding within the 3DV/FTV applications. However, existing depth estimation methods generally have difficulty to generate goo...
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ISBN:
(纸本)9781612841618
Multi-view depth estimation is an important part in the virtual view synthesis and depth map coding within the 3DV/FTV applications. However, existing depth estimation methods generally have difficulty to generate good depth results around object edges or in areas with less texture. To solve this problem, we propose an improved algorithm to obtain a smooth and accurate depth map for view synthesis in 3D video coding. The proposed method aims to preserve details in the depth map and simultaneously smooth depths in object boundary occluded area, less texture and discontinuity regions, to avoid blurring in the synthesized views. Experimental results show a significant improvement of the initial input depth maps and coding efficiency, as well as a reduction of view synthesis artifacts.
A depth map represents three-dimensional (3D) scene information and is used to synthesize virtual views in 3D video. Since the quality of synthesized virtual views highly depends on the quality of depth map, efficient...
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A depth map represents three-dimensional (3D) scene information and is used to synthesize virtual views in 3D video. Since the quality of synthesized virtual views highly depends on the quality of depth map, efficient depth compression is crucial to realize the 3D video system. However compressing depth map using existing video coding techniques yields unacceptable distortions while rendering virtual views. To solve this problem, we propose an efficient depth map compression method for the view rendering, a novel distortion metric base on view rendering distortions instead of distortion of depth map itself. First, we derive relationships between distortions in coded depth map and rendered view. Then, a region based video characteristics distortion model is proposed for precisely estimation distortion in view synthesis. Finally, experimental results have shown that 1.8 dB coding gain in terms of PSNR and subjective quality improvement of synthesized views are achieved by the proposed method.
Inaccuracy depth estimation may influence on depth coding and virtual view rendering in the free-viewpoint television (FTV) system, an improved depth map estimation is proposed to solve the problem for coding and view...
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Inaccuracy depth estimation may influence on depth coding and virtual view rendering in the free-viewpoint television (FTV) system, an improved depth map estimation is proposed to solve the problem for coding and view synthesis. Firstly, check the consistency of initial depth, and the influence of initial miss-matches is minimized by introduction of an additional adaptive matching error selection that penalizes the unreliable matches. Then according to certain criteria, the multi-reference depth maps are merged into one disparity map to improve the quality of disparity map. Finally, a multilateral filtering is used to preserve details in the depth map and simultaneously smooth the depths in occluded areas at object boundary, less texture and discontinuity regions. Experimental results show a significant improvement of the initial input depth maps and coding efficiency, as well as a reduction of view synthesis artifacts.
Mobile Ad-hoc Networks (MANETs) are of significant scientific and practical interest in many areas of human life. MANETs also play a vital role in providing an uninterrupted communication service between members of a ...
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Mobile Ad-hoc Networks (MANETs) are of significant scientific and practical interest in many areas of human life. MANETs also play a vital role in providing an uninterrupted communication service between members of a rescue team in natural or anthropogenic disasters. One of the most common problems of MANETs is network partitioning. In this situation, the network splits up into several isolated fragments incapable of communicating with each other. Network partitioning can lead to dramatic consequences especially in disaster scenarios. In this paper, we propose a solution for the above mentioned problem, a system which detects and recovers from network partitioning using additional mobile nodes. Besides, the proposed novel system is scalable and robust due to a self-organizing, distributed architecture. Furthermore, it is also energy efficient during its reactive behavior, what is especially important for mobile nodes with limited battery capacity.
The objective of this study was to discriminate different types of punches based on signals measured by gyro sensors. If a boxer consistently uses the same pattern of attack, his opponent could easily determine what t...
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ISBN:
(纸本)9784907764388
The objective of this study was to discriminate different types of punches based on signals measured by gyro sensors. If a boxer consistently uses the same pattern of attack, his opponent could easily determine what type of punch is coming next. Thus, by feeding back information on the frequency of each type of punch, the attack pattern can be identified and the counterattack can be improved.
Learning Object (LO) is one of the main research topics in the e-learning community in the recent years, and most researchers pay attention to the issue of Learning Object Reusability. The most obvious motivation is t...
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Learning Object (LO) is one of the main research topics in the e-learning community in the recent years, and most researchers pay attention to the issue of Learning Object Reusability. The most obvious motivation is the economic interest of reusing learning material instead of repeatedly authoring it. In this paper we present the process of creating granular learning object for enabling the reusing of LO in e-Learning context. Reusability requires the LO to be in a fine-grain form because raw media elements are often much easier to reuse then aggregate assemblies. In other words, as the LO size decreases (lower granularity), its potential for reuse increases. A prototype of learning objects repository that contain granular LO has been developed to show the process of granularizing LO. Each of existing LO will be extracted into granular element with the metadata and the system generated unique id for each LO based on its identifier (URL of LO) and save automatically the metadata contain in the LO. These metadata will be used for searching and retrieval process of the granule LO.
Digital multimedia broadcasting services require resiliency against signal fading due to signal encounters with bad weather, terrain obstructions, such as tree, building, etc. There are several solutions that use peer...
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Digital multimedia broadcasting services require resiliency against signal fading due to signal encounters with bad weather, terrain obstructions, such as tree, building, etc. There are several solutions that use peer-to-peer network to repair packet losses. But they have some shortcomings such as long lookup latency, control message overhead, flash crowd problem and low chunk availability. In this paper we propose a novel solution that considers load distribution in structured peer-to-peer networks and repairing packet losses in short lookup latency. Our proposed solution doesn't need to modify the codec technology for multimedia stream. Our proposed solution can achieve load evenly distributed, high chunk availability, short lookup latency and low control message overhead by using peer-to-peer network to repair packet losses in digital multimedia broadcasting systems.
The theory of a quantum-limited phase-matching effect in a Λ-type lasing system is studied in detail based on the quantum Langevin approach. Two quasimonochromatic fields are directly generated based on two lasing tr...
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The theory of a quantum-limited phase-matching effect in a Λ-type lasing system is studied in detail based on the quantum Langevin approach. Two quasimonochromatic fields are directly generated based on two lasing transitions. We find that the coherence between two lasers can well exceed the linewidth of either laser field. This result denotes that two field phases match each other although either laser field has a high phase fluctuation. Unlike the phase-matching effect based on atomic absorption, the final coherence between two laser fields here is not limited by saturation broadening, and the higher laser intensities lead to a higher coherence. Additionally, based on a linear stability analysis, we find that the instability of the field steady state can substantially restrict the occurrence of this phase-matching effect in the bad-cavity limit for a high pump rate. We also discuss the spectrum of amplitude fluctuations of output fields, and the result shows that the squeezing of amplitude fluctuations at low frequencies for a single field oscillating inside the cavity is damaged in the case of two fields oscillating.
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