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KLT Feature Based Vehicle Detection and Tracking in Airborne Videos
所属机构名称:中国科学院西安光学精密机械研究所
会议名称:Int’l Conf. on Image and Graphics
时间:2011.8.8
成果类型:会议
相关项目:快速鲁棒迁移子空间算法
作者:
X. Cao|J. Lan|P. Yan|X. Li,|
同会议论文项目
快速鲁棒迁移子空间算法
期刊论文 58
会议论文 34
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A-Optimal Non-negative Projection for Image Representation
Color Fractural Structure Model for Reduced-Reference Colorful Image Quality Assessment
ESTIMATING PATIENT-SPECIFIC SHAPE PRIOR FOR MEDICAL IMAGE SEGMENTATION
A NOVEL ALTERNATIVE ALGORITHM FOR LIMITED ANGLE TOMOGRAPHY
Local Learning-Based Image Super-Resolution
Single-Image Super-Resolution via Sparse Coding Regression
Putting Poses on Manifold for Action Recognition
PUTTING IMAGES ON A MANIFOLD FOR ATLAS-BASED IMAGE SEGMENTATION
Universal NR-IQA Metrics Based on Local Dependency
Linear SVM Classification using Boosting HOG Features for Vehicle Detection in Low-altitude Airborne
Utilizing Homotopy for Single Image Superresolution
Image Denoising via Weight Regression
Local Adaptive Dictionary based Image Denoising
Single-Image Super-Resolution Based on Semi-Supervised Learning
Accelerating Vehicle Detection in Low-altitude Airborne Urban Video
Face Sketch-photo Synthesis based on Support Vector Regression
ROBUST COLOR CORRECTION IN STEREO VISION
Multi-scale Dictionary for Single Image Super-resolution
Matrix Completion by Truncated Nuclear Norm Regularization
Sparse Representation for Blind Image Quality Assessment
Local Structure Divergence Index for Image Quality Assessment
A Biological Inspired Features Based Saliency Map
Target-oriented Shape Modeling with Structure Constraint for Image Segmentation
Designing and Selecting Features for MR Image Segmentation
Medical Image Segmentation Using Descriptive Image Features
Image Denoising via Improved Sparse Coding
Local Semi-Supervised Regression for Single-Image Super-Resolution
Segmenting Images by Combining Selected Atlases on Manifold
Learning Shape Statistics for Hierarchical 3D Medical Image Segmentation
Single Image Super Resolution with High Resolution Dictionary
Multimodal Learning for Multi-label Image Classification
High Quality Intrinsic Images Using Optimization