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    • 1. 发明专利
    • Mobile detection apparatus and program
    • JP5434861B2
    • 2014-03-05
    • JP2010209878
    • 2010-09-17
    • 株式会社デンソー
    • 美樹男 笹木
    • G06T7/20G06T7/00
    • PROBLEM TO BE SOLVED: To improve the detection capability of a device for detecting a moving object in an image taken by a camera.SOLUTION: A moving object detector extracts feature points and moving feature points from an obtained image, and compares an extraction result with template data to detect a moving object. In the template data, positional information on an area with the moving object in the obtained image and a spatial distribution feature amount indicating distribution of feature points and moving feature points in the area with the moving object shown are written. The spatial distribution feature amount is a vector amount composed of a factor indicating the number of feature points and the number of moving feature points in each block obtained by dividing the target area. The moving object detector counts, on the basis of the extraction result, the number of feature points and the number of moving feature points in each block in a moving object detection target area corresponding to an area indicated by the template data to generate a spatial distribution feature amount, and then compares the amount with the spatial distribution feature amount indicated by the template data to detect the moving object.
    • 2. 发明专利
    • Mobile detecting device
    • 空值
    • JP5267596B2
    • 2013-08-21
    • JP2011037225
    • 2011-02-23
    • 株式会社デンソー
    • 美樹男 笹木
    • G06T1/00G06T7/20
    • G06K9/00791G06T7/254G06T7/262G06T2207/20052G06T2207/30261
    • A moving object detection apparatus generates frame difference image data each time a frame data is captured, based on the captured frame data and previous frame data, and such frame difference image data is divided into pixel blocks. Subsequently, for each of the pixel blocks a discrete cosine transformation (DCT), a two-dimensional DCT coefficient is calculated, and such two-dimensional DCT coefficients are accumulated and stored. The value of each element of the two-dimensional DCT coefficient is arranged to form a characteristic vector, and, for each of the pixel blocks at the same position of the frame difference image data, the characteristic vector is generated and then such characteristic vector is arranged to form a time-series vector. The time-series vector derived from moving-object-capturing pixel blocks is used to calculate a principal component vector and a principal component score.
    • 移动物体检测装置基于拍摄的帧数据和先前的帧数据,在每次捕获帧数据时生成帧差分图像数据,并将这些帧差分图像数据分割为像素块。 随后,对于每个像素块进行离散余弦变换(DCT),计算二维DCT系数,并且累加并存储这样的二维DCT系数。 布置二维DCT系数的每个元素的值以形成特征向量,并且对于帧差图像数据的相同位置处的每个像素块,生成特征向量,然后这样的特征向量是 布置成形成时间序列向量。 使用从运动物体捕捉像素块导出的时间序列矢量来计算主成分矢量和主成分分数。