目的了解四川省男男性行为(Men who have sex with men,MSM)人群的人口学特征、艾滋病知识水平、行为特征和艾滋病病毒(Human immunodeficiency virus,HIV)感染情况,为制定防治策略提供依据。方法在四川省9个城市,采用方便抽样和"...目的了解四川省男男性行为(Men who have sex with men,MSM)人群的人口学特征、艾滋病知识水平、行为特征和艾滋病病毒(Human immunodeficiency virus,HIV)感染情况,为制定防治策略提供依据。方法在四川省9个城市,采用方便抽样和"滚雪球"抽样相结合的方式,招募MSM进行问卷调查及血清学检测。结果共调查MSM 2 889人,以20～39岁、高中及以上文化程度者居多,95.0%为本省人。艾滋病知识平均知晓率为95.7%。在最近6个月中,MSM与男性发生过肛交性行为的占86.9%,与异性发生过性行为的占22.6%,与同性发生过商业性行为的占7.2%;与上述三类人发生性行为时每次都坚持使用安全套的比例分别为34.2%、26.5%和59.7%。血清学检测,HIV抗体、梅毒抗体、丙型肝炎病毒抗体阳性率分别为11.5%(332/2 889)、7.4%(231/2 885)和1.2%(35/2 885)。结论四川省MSM人群艾滋病知识知晓率较高,但安全套使用率较低,危险行为普遍存在,出现知行分离现象;HIV抗体阳性率较高。应加大干预力度,改变危险行为,减少或消除艾滋病传播隐患。展开更多
This paper presents an urban expressway video surveillance and monitoring system for traffic flow measurement and abnormal performance detection. The proposed flow detection module collects traffic flow statistics in ...This paper presents an urban expressway video surveillance and monitoring system for traffic flow measurement and abnormal performance detection. The proposed flow detection module collects traffic flow statistics in real time by leveraging multi-vehicle tracking information. Based on these online statistics, road operating situations can be easily obtained. Using spatiotemporal trajectories, vehicle motion paths are encoded by hidden Markov models. With path division and parameter matching, abnormal performances containing extra low or high speed driving, illegal stopping and turning are detected in real scenes. The traffic surveillance approach is implemented and evaluated on a DM642 DSP-based embedded platform. Experimental results demonstrate that the proposed system is feasible for the detection of vehicle speed, vehicle counts and road efficiency, and it is effective for the monitoring of the aforementioned anomalies with low computational costs.展开更多
Intelligent video surveillance for elderly people living alone using Omni-directional Vision Sensor (ODVS) is an important application in the field of intelligent video surveillance. In this paper, an ODVS is utilized...Intelligent video surveillance for elderly people living alone using Omni-directional Vision Sensor (ODVS) is an important application in the field of intelligent video surveillance. In this paper, an ODVS is utilized to provide a 360° panoramic image for obtaining the real-time situation for the elderly at home. Some algorithms such as motion object detection, motion object tracking, posture detection, behavior analysis are used to implement elderly monitoring. For motion detection and object tracking, a method based on MHoEI(Motion History or Energy Images) is proposed to obtain the trajectory and the minimum bounding rectangle information for the elderly. The posture of the elderly is judged by the aspect ratio of the minimum bounding rectangle. And there are the different aspect ratios in accordance with the different distance between the object and ODVS. In order to obtain activity rhythm and detect variously behavioral abnormality for the elderly, a detection method is proposed using time, space, environment, posture and action to describe, analyze and judge the various behaviors of the elderly in the paper. In addition, the relationship between the panoramic image coordinates and the ground positions is acquired by using ODVS calibration. The experiment result shows that the above algorithm can meet elderly surveillance demand and has a higher recognizable rate.展开更多
文摘目的了解四川省男男性行为(Men who have sex with men,MSM)人群的人口学特征、艾滋病知识水平、行为特征和艾滋病病毒(Human immunodeficiency virus,HIV)感染情况,为制定防治策略提供依据。方法在四川省9个城市,采用方便抽样和"滚雪球"抽样相结合的方式,招募MSM进行问卷调查及血清学检测。结果共调查MSM 2 889人,以20～39岁、高中及以上文化程度者居多,95.0%为本省人。艾滋病知识平均知晓率为95.7%。在最近6个月中,MSM与男性发生过肛交性行为的占86.9%,与异性发生过性行为的占22.6%,与同性发生过商业性行为的占7.2%;与上述三类人发生性行为时每次都坚持使用安全套的比例分别为34.2%、26.5%和59.7%。血清学检测,HIV抗体、梅毒抗体、丙型肝炎病毒抗体阳性率分别为11.5%(332/2 889)、7.4%(231/2 885)和1.2%(35/2 885)。结论四川省MSM人群艾滋病知识知晓率较高,但安全套使用率较低,危险行为普遍存在,出现知行分离现象;HIV抗体阳性率较高。应加大干预力度,改变危险行为,减少或消除艾滋病传播隐患。
基金The National Key Technology R&D Program of China during the 11th Five-Year Plan Period(No.2009BAG13A04)Jiangsu Transportation Science Research Program(No.08X09)Program of Suzhou Science and Technology(No.SG201076)
文摘This paper presents an urban expressway video surveillance and monitoring system for traffic flow measurement and abnormal performance detection. The proposed flow detection module collects traffic flow statistics in real time by leveraging multi-vehicle tracking information. Based on these online statistics, road operating situations can be easily obtained. Using spatiotemporal trajectories, vehicle motion paths are encoded by hidden Markov models. With path division and parameter matching, abnormal performances containing extra low or high speed driving, illegal stopping and turning are detected in real scenes. The traffic surveillance approach is implemented and evaluated on a DM642 DSP-based embedded platform. Experimental results demonstrate that the proposed system is feasible for the detection of vehicle speed, vehicle counts and road efficiency, and it is effective for the monitoring of the aforementioned anomalies with low computational costs.
文摘Intelligent video surveillance for elderly people living alone using Omni-directional Vision Sensor (ODVS) is an important application in the field of intelligent video surveillance. In this paper, an ODVS is utilized to provide a 360° panoramic image for obtaining the real-time situation for the elderly at home. Some algorithms such as motion object detection, motion object tracking, posture detection, behavior analysis are used to implement elderly monitoring. For motion detection and object tracking, a method based on MHoEI(Motion History or Energy Images) is proposed to obtain the trajectory and the minimum bounding rectangle information for the elderly. The posture of the elderly is judged by the aspect ratio of the minimum bounding rectangle. And there are the different aspect ratios in accordance with the different distance between the object and ODVS. In order to obtain activity rhythm and detect variously behavioral abnormality for the elderly, a detection method is proposed using time, space, environment, posture and action to describe, analyze and judge the various behaviors of the elderly in the paper. In addition, the relationship between the panoramic image coordinates and the ground positions is acquired by using ODVS calibration. The experiment result shows that the above algorithm can meet elderly surveillance demand and has a higher recognizable rate.
