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Description: This paper describes a vision based pedestrian detection and tracking system which is able to count people in very crowded situations like escalator entrances in underground stations. The proposed system uses motion to compute regions of interest and prediction of movements, extracts shape information from the video frames to detect individuals, and applies texture features to recognize people. A search strategy creates trajectories and new pedestrian hypotheses and then filters and combines those into accurate counting events. We show that counting accuracies up to 98 % can be achieved.
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Size: 2122036 |
Author: harleych |
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Description: we present a statical methode to detect regions whose apparent motion in the image is not conforming to dominant motion of the background resulting from the camera movement
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Size: 361472 |
Author: dijaben |
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Description: 采用三帧差的方法，对图像进行处理，获取运动检测的结果，得到运动区域。-A three-frame difference method, image processing, to obtain the results of motion detection, are moving regions.
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Size: 22749184 |
Author: ango |
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Description: 本篇論文提出的整合式解交錯(Integrated De-interlacing)的演算法，可以有效提昇移
動區域的畫面，但是當移動估計不正確時，反而會使移動補償後的畫面變得很差，為了
改善這種情況，因此結合移動可適性解交錯的優點，並將空間圖場內插(Spatial
Interpolation)的方式改成ELA(Edge Line Average)來設計，經過電腦模擬的結果發現，不僅在視覺上提高畫面的解析度，在某些影像峰值訊號雜訊比(Peak Signal Noise Ratio ,
PSNR)也比線平均解交 錯(Line Average De-interlacing)多出好幾分貝的畫質增益。
此外，在整合式解交錯演算法中也增加影片偵測(Film Detection)和影像加強(Image
Enhancement)的演算法設計，在這樣演算法的架構下，透過影片偵測的演算法，我們可
真實地還原3:2 Pull Down 的影片格式，而不會有鋸齒狀(Saw-Toothed)的畫面出現，而影
像加強的演算法，則可以在解交錯後，經過影像的調整，使輸出畫面呈現不同的效果，
達到消費者的需求。-The main theme of this thesis is an integrated de-interlacing system, which incorporates
several known and improved techniques in a nice manner to produce good de-interlaced image
quality. We first develop an accurate motion detector that classifies image regions into
stationary, low-motion, and high-motion categories. The simple field merging method is
applied to the stationary regions. The edge line average interpolation method is applied to the
slow-motion regions. Finally, the motion-compensated interpolation is applied to the
high-motion regions. In addition, hierarchical motion estimation and motion vector smoothing
techniques are employed to enhance the quality of estimated motion vectors. Our computer
simulation shows that the subjective image quality is improved by using the proposed scheme.
Also, its PSNR measures are better than the conventional spatial or temporal interpolation
schemes.
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Size: 1171456 |
Author: robin |
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Description: 针对多峰函数优化问题，借鉴混沌遍历特性和免疫网络理论，提出一种免疫混沌网络算法。算法利用混沌运动的自身规律在不同的峰值区域内搜索最佳抗体，增强了算法的局部搜索能力；采用网络抑制策略，保持了种群的多样性；通过网络补充机制自适应地调节抗体群的规模，提高了算法对不同类型多峰函数的适应能力。仿真结果表明该算法能有效地改善种群的多样性，较好地保持全局搜索和局部搜索的动态平衡，具有更强的多峰函数优化能力-Referred to the ergodicity of chaos and immune network theory, an immune chaotic network algorithm for
multimodal function optimization was proposed. The rule of chaotic motion was used to search the best antibodies in different peak regions in order to enhance the capacity of local search. The strategy of network suppression was adopted to maintain the diversity of population. Under the action of network supplement mechanism, the scale of antibody population was adjusted to adapt different types of multimodal function. Simulation results show that the algorithm can not only improve population diversity effectively, but also keep the dynamic balance between global search and local search well. Therefore, it has excellent optimization performance to multimodal function.
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Size: 1095680 |
Author: 崔冰 |
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Description: Predict a new frame from a previous frame and only code the
prediction error
• Prediction error will be coded using an image coding method (e.g.,
DCT-based as in JPEG)
• Prediction errors have smaller energy than the original pixel values
and can be coded with fewer bits
• Those regions that cannot be predicted well will be coded directly
using DCT-based method
• Use motion-compensated prediction to account for object motion
• Work on each macroblock (MB) (16x16 pixels) independently f-Predict a new frame from a previous frame and only code the
prediction error
• Prediction error will be coded using an image coding method (e.g.,
DCT-based as in JPEG)
• Prediction errors have smaller energy than the original pixel values
and can be coded with fewer bits
• Those regions that cannot be predicted well will be coded directly
using DCT-based method
• Use motion-compensated prediction to account for object motion
• Work on each macroblock (MB) (16x16 pixels) independently f
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Size: 3072 |
Author: krishna |
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Description: we automatically determine an appropriate initialization and the number of regions bymeans of recursive two-phase
splits with higher order region models.
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Size: 1090560 |
Author: wu yan ping |
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Description: Motion-Compensated Frame Interpolation (MCFI)
is a technique used extensively for increasing the temporal
frequency of a video sequence. In order to obtain a high quality
interpolation, the motion field between frames must be wellestimated.
However, many current techniques for determining
the motion are prone to errors in occlusion regions, as well as
regions with repetitive structure
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Size: 3932160 |
Author: yokool |
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Description: By using the local regional information which has the ability to enhance
the image, an improved active contour model based on level set method is proposed.
Defining a novel SPF function with a nonnegative kernel function and local intensity
clustering property(the novel model could draw upon intensity information in local regions
at a controllable scale. In addition, the penalizing term which can be called distance
regularization term drives the motion of the zero level set toward desired locations.
Experimental results for real and synthetic images show the desirable proposed method
performances and the model efficiency on intensity inhomogeneities and weak boundaries)
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Size: 1137664 |
Author: 133549 |
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