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IEEE 1857 Standard: Empowering Smart Video Surveillance Systems
  • 期刊名称：IEEE Intelligent Systems
  • 时间：2014.9
  • 页码：30-39
  • 相关项目：基于多摄像头协同的运动对象检测跟踪和异常行为分析
作者： Wen Gao|Yonghong Tian|Tiejun Huang|Siwei Ma|Xianguo Zhang|
同期刊论文项目
基于多摄像头协同的运动对象检测跟踪和异常行为分析
期刊论文 38 会议论文 42 专利 10 著作 2
同项目期刊论文
车载视觉系统中的行人检测技术综述
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Visual Saliency with Statistical Priors
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Multi-Task Rank Learning for Visual Saliency Estimation
Transferring Boosted Detectors Towards Viewpoint and Scene Adaptiveness
Learning Complementary Saliency Priors for Foreground Object Segmentation in Complex Scenes
Detection and Localization with Scalable Cascading of Complementary Detectors and Multi-scale Sequen
Video Copy-Detection and Localization with a Scalable Cascading Framework
IEEE 1857: Boosting Video Applications in CPSS
Weighted Visual Vocabulary to Balance the Descriptive Ability on General Dataset
INSTRE: a New Benchmark for Instance-Level Object Retrieval and Recognition
Representing dense crowd patterns using bag of trajectory graphs
Optimizing the Hierarchical Prediction and Coding in HEVC for Surveillance and Conference Videos wit
Scalable storyboards in handheld devices: applications and evaluation metrics
Multi-Task Rank Learning for Visual Saliency in Video
Selective Eigenbackground for Background Modeling and Subtraction in Crowded Scenes
TASC: A Transformation-Aware Soft Cascading Approach for Multimodal Video Copy Detection
Foreground Object Segmentation in Complex Scenes with Complementary Saliency Priors
Recognizing Human Group Action by Layered Model with Multiple Cues
Learning Hierarchical Semantic Description via Mixed-norm Regularization for Image Understanding
Robust Multiple Cameras Pedestrian Detection with Multi-view Bayesian Network
Social Attribute-aware Force Model: Exploiting Richness of Interaction for Abnormal Crowd Detection
Relative Image Similarity Learning with Contextual Information for Internet Cross-media Retrieval
Fast and Efficient Transcoding Based on Low-complexity Background Modeling and Adaptive Block Classi
特征提取和匹配的图像倾斜校正
基于视觉的人体动作识别综述