A REAL- TIME, SEMI-AUTOMATIC METHOD FOR TARGET TRACKING WINDOW INITIALIZATION IN THERMAL IMAGERY
    1.
    发明公开
    A REAL- TIME, SEMI-AUTOMATIC METHOD FOR TARGET TRACKING WINDOW INITIALIZATION IN THERMAL IMAGERY 审中-公开
    HALBAUTOMATISCHES ECHTZEITVERFAHREN ZUR INITIALISIERUNG EINES ZIELVERFOLGUNGSFENSTERS BEI THERMISCHEM BILDMATERIAL

    公开(公告)号:EP3140781A1

    公开(公告)日:2017-03-15

    申请号:EP14737347.6

    申请日:2014-05-08

    IPC分类号: G06K9/32 G06K9/46

    摘要: A real-time, semi-automatic method for discriminant track initialization in thermal imagery is very critical for tracking since it determines what to track for the tracker. Therefore, any insignificant or false information may result in redundant features or deceptive appearance that can cause premature track losses. To achieve long-term tracking, a real-time, semi-automatic track initialization methodology for IR images is proposed which takes a single image coordinate as input, then generates target bounding box for the most salient segment. The present invention is designed for real-time applications in which erroneous user input is unavoidable. Therefore, error compensation capability of present invention both introduces many practical advantageous together with performance boost. Low computational cost and requirement of only a point coordinate as input in the vicinity of the target make this approach preferable in real-time tracking applications.

    摘要翻译: 用于热图像中的判别轨道初始化的实时,半自动方法对于跟踪是非常关键的,因为它确定跟踪器的跟踪。 因此,任何不重要或不正确的信息都可能导致冗余特征或欺骗性外观,从而导致轨道损耗过早。 为了实现长期跟踪,提出了一种用于图像的实时半自动轨迹初始化方法,其采用单个图像坐标作为输入,然后为最显着的段生成目标边界框。 本发明被设计用于不可避免地错误的用户输入的实时应用。 因此,本发明的误差补偿能力与性能提升一起引入了许多实用的优点。 低的计算成本和只有点坐标作为目标附近的输入的要求使得该方法在实时跟踪应用中更为可取。

    A SEMI AUTOMATIC TARGET INITIALIZATION METHOD BASED ON VISUAL SALIENCY
    4.
    发明公开
    A SEMI AUTOMATIC TARGET INITIALIZATION METHOD BASED ON VISUAL SALIENCY 有权
    半自动ZIELINITIALISIERUNGSVERFAHREN根据明确VISUAL刺穿

    公开(公告)号:EP3039645A1

    公开(公告)日:2016-07-06

    申请号:EP13786313.0

    申请日:2013-08-28

    IPC分类号: G06T7/00

    摘要: Target initialization can dramatically change the performance of the tracker, since the initial window determines for the tracker what to track. In order to achieve a better tracking performance; The present invention relates to a method of semi automatic target initialization based on visual saliency for a given point coordinate in the vicinity of target by the user. Performance boost of tracker is mainly based on two key features of target initialization algorithm: It is capable of compensating erroneous user input; also selecting the most distinctive, salient part of object as target, so better discrimination is achieved between the target and background. Experimental results show that tracking performance is boosted in scenarios, in which the tracking is initialized by the proposed algorithm. Very low computational cost and requirement of only a point coordinate as input in the neighborhood of the target make this approach preferable in real time tracking applications.