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    • 37. 发明申请
    • Motion Analysis Method and Code Stream Conversion Method Based on Video Compression Code Stream and Apparatus Thereof
    • 基于视频压缩码流的运动分析方法和码流转换方法及其设备
    • US20150163493A1
    • 2015-06-11
    • US14358897
    • 2011-12-19
    • Chongji HuangHai YuHui SuYonghua Jia
    • Chongji HuangHai YuHui SuYonghua Jia
    • H04N19/139H04N19/124H04N19/176H04N19/20
    • H04N19/139G06T7/215G06T7/246G06T2207/10016G06T2207/20021H04N19/124H04N19/132H04N19/137H04N19/174H04N19/176H04N19/177H04N19/20H04N19/40H04N19/48H04N19/51
    • The present invention relates to security video monitoring for and discloses a motion analysis method and a code stream conversion method based on video compression code stream and apparatus thereof. In the invention, a total number of bits or a residual bit number of a macro block in a video I frame s extracted from the video compression code stream; weighted average is performed to the total number of bits or a residual bit number of the macro block whose position corresponds with the current macro block in the latest M frames and a background value is obtained through calculating; a difference value between the total number of bits or the residual bit number of the current macro block and the background value is calculated, and if the difference value is greater than a predetermined first threshold, then a moving object is determined to be detected. Weighted average background modeling is performed to macro block information, such as the total numbers of bits or the residual bit number of the macro block corresponds with the current macro block in latest M frames. Threshold determination is performed to a background difference value matching result and motion analysis is performed. Coding picture of the macro block between the frames does not need to be calculated. Calculated quantity is small and the adaptability to the code stream and a scene is strong.
    • 本发明涉及一种基于视频压缩码流的运动分析方法和码流转换方法的安全视频监控及其装置。 在本发明中,从视频压缩码流提取的视频I帧s中的宏块的总数或残留比特数; 对最新M帧中的位置与当前宏块对应的宏块的总位数或剩余位数进行加权平均,并通过计算获得背景值; 计算当前宏块的总位数或残留位数与背景值之间的差值,如果差值大于预定的第一阈值,则确定检测到移动对象。 对宏块信息执行加权平均后台建模,例如宏块的总位数或残留位数与最新M帧中的当前宏块相对应。 对背景差值匹配结果执行阈值确定,并执行运动分析。 帧之间的宏块的编码图像不需要计算。 计算量小,对码流和场景的适应性强。
    • 39. 发明申请
    • ROAD MARKING ILLUMINATTION SYSTEM AND METHOD
    • 道路标记照明系统及方法
    • US20140267415A1
    • 2014-09-18
    • US14205341
    • 2014-03-11
    • Xueming TangHai Yu
    • Xueming TangHai Yu
    • G08G1/16G06T11/60
    • G06T11/60B60Q1/085B60Q2300/32B60Q2400/50B60W30/12G08G1/165G08G1/166
    • A controller is configured to enhance driving awareness and safety by recognizing road marking objects and automatically generating laser or light beams to illuminate the road marking objects. The road marking objects are recognized from vehicle surrounding sensing system where cameras are frequently used. The road marking objects are also inferred from navigation information system based on the vehicle's position and knowledge about surrounding environment. Road markings for future vehicle positions are predicted based on present vehicle states and motions. The relative positions of the road marking objects are determined with respect to a vehicle coordinate system. When illuminated from a projector on the vehicle, the projected images of the road markings sufficiently overlap and highlight their target road marking objects on road surface.
    • 控制器被配置为通过识别道路标记对象并自动生成激光或光束来照亮道路标记物体来增强驾驶意识和安全性。 道路标识物体被识别为车辆周边感测系统,其中经常使用相机。 道路标记物体也根据车辆的位置和周围环境的知识从导航信息系统推断出来。 根据目前的车辆状态和动议预测未来车辆位置的道路标线。 相对于车辆坐标系确定道路标记对象的相对位置。 当从车辆上的投影仪照亮时,道路标记的投影图像充分重叠并突出显示其路面上的目标道路标记物体。