智能监控视频分析技术平台

智能监控视频分析技术平台

  • 智能监控视频分析技术平台
    ART/153CP
    20130306 - 20141005
    9657

    周正华先生
    There will be five deliverables in this project: 1 ) Video Enhancement (requires 12 months) ASTRI will develop a state-of-the-art video enhancement technology with the Chinese University of Hong Kong. This technology can remove camera noise and compression noise, and enhance intensity range simultaneously. It is required to develop this technology because qualities of most of the surveillance videos are so low that existing algorithms fail to work. With this technology, we can improve the image quality of the videos such that these low quality videos can be processed. 2) Advanced Feature Extraction (requires 15 months) ASTRI will develop the following two new feature extraction methods for video object decomposition and classification tasks: i) Real-time and high accuracy human and vehicle detection technique; and ii) High accuracy face detection and recognition technique. These two new techniques will largely increase the respective object detection rate, which will help improve the quality of the following learning-based event detection. 3) Learning-based Event Detection (requires 11 months) ASTRI will develop an automatic behavior learning technique to learn and understand the motion behavior of moving objects captured by a video camera. It will generate a classifier for normal-and-abnormal motion classification. The classifier can be used to detect abnormal events for the learned camera by automatically generating rules to analyze the moving content. This kind of technique is not supported in existing intelligent video surveillance products. 4) Query-by-Example/Sketch Object Indexing and Retrieval (requires 5 months) ASTRI will develop an object retrieval technique that allows a user to input images or sketches as queries for searching the desired objects from an analyzed video. This kind of technique is not supported in existing intelligent video surveillance products. 5) An integrated client-server system (requires 4 months) ASTRI will integrate all the above technologies together with the necessary low-level video processing techniques from previous projects into a client-server system, which provides all the necessary services for video surveillance analysis. Some of the above deliverables will be developed concurrently. The total project duration is 19 months. Please refer to Annex 1: Project Schedule for the detailed timeframe.
    赵盛章博士 汤逸生博士 胡大鹏博士 麦振文博士 周晓女士 陈宜廉先生 黄汉强先生 黄沛杰博士 郭宏智先生 林志伟先生 李辉先生 何剑婷女士 刘宇强博士 王凯婵女士 俞汉彪先生 吴潮华先生 Mr Joni LAITINEN 郑珊珊女士 刘强先生 朱星华女士
    天地阳光通信科技(北京)有限公司 [赞助机构] 桂林利达通讯工程有限公司 香港惩教署 香港久淩技术有限公司 [赞助机构] 香港久淩技术有限公司 (研究合约) [赞助机构] 香港中文大学

    近年,有关智能视频监控平台的需求日益增加,相应地,与此有关的市场也在高速的增长。为此,所得到的视频源也以海量的数量存在著。一般现有的智能分析系统,重点都只是分解和归类视频中的物体,在实际应用中,仍是需要操作者针对特定的事态来设定方案才能运作。当遇上了海量的视频和千变万化的事态的时候,这种需要人手设定的手段则变得不太合适。 这一项目的主要目标是要开发一个能真正对监控视频作出分析和理解的平台系统,它会自动学习并「理解」视频中的运动,免除所提到的人手设定,以填补在智能监控平台市场中这一方面的空白。项目的另一个目标,是要开发一个用户友好的「例子查询」检索系统,以让用户提取已分解和已理解的视频资讯。为了支持以上两个大目标,所需的基础视频增强、分解和归类技术也会进行必要性的改良。当中部分算法会移植到前端设备之中,整个系统,会以「客户端—服务器」的形式实现。我们会与香港纪律部队(包括香港惩教署)和业界夥伴紧密合作,打造一个走在市场尖端的智能视频监控平台系统。