公开(公告)号：US20150350547A1

公开(公告)日：2015-12-03

申请号：US14502128

申请日：2014-09-30

Applicant: Apple Inc.

Inventor： Anita Nariani-Schulze ,  Benjamin M. Olson ,  Ralph Brunner ,  Suk Hwan Lim ,  Frank Doepke

IPC: H04N5/232

CPC classification number: H04N5/23254 ,  G06T7/215 ,  G06T2207/20016 ,  G06T2207/20076 ,  G06T2207/20104

Abstract: Techniques to detect subject and camera motion in a set of consecutively captured image frames are disclosed. More particularly, techniques disclosed herein temporally track two sets of downscaled images to detect motion. One set may contain higher resolution and the other set lower resolution of the same images. For each set, a coefficient of variation may be computed across the set of images for each sample in the downscaled image to detect motion and generate a change mask. The information in the change mask can be used for various applications, including determining how to capture a next image in the sequence.

Abstract translation: 公开了在一组连续拍摄的图像帧中检测主体和相机运动的技术。 更具体地，本文公开的技术暂时跟踪两组缩小图像以检测运动。 一组可能包含较高的分辨率，另一组则设置相同图像的较低分辨率。 对于每个集合，可以在缩小图像中的每个样本的图像集上计算变化系数，以检测运动并生成改变掩模。 更改掩码中的信息可用于各种应用，包括确定如何捕获序列中的下一个图像。

公开(公告)号：US09686470B2

公开(公告)日：2017-06-20

申请号：US14502128

申请日：2014-09-30

Applicant: Apple Inc.

Inventor： Anita Nariani-Schulze ,  Benjamin M. Olson ,  Ralph Brunner ,  Suk Hwan Lim ,  Frank Doepke

IPC: H04N5/232 ,  G06T7/215

CPC classification number: H04N5/23254 ,  G06T7/215 ,  G06T2207/20016 ,  G06T2207/20076 ,  G06T2207/20104

Abstract: Techniques to detect subject and camera motion in a set of consecutively captured image frames are disclosed. More particularly, techniques disclosed herein temporally track two sets of downscaled images to detect motion. One set may contain higher resolution and the other set lower resolution of the same images. For each set, a coefficient of variation may be computed across the set of images for each sample in the downscaled image to detect motion and generate a change mask. The information in the change mask can be used for various applications, including determining how to capture a next image in the sequence.

公开(公告)号：US09911061B2

公开(公告)日：2018-03-06

申请号：US14869732

申请日：2015-09-29

Applicant: Apple Inc.

Inventor： Jianping Zhou ,  Geoffrey T. Anneheim ,  Xiaoxing Li ,  Benjamin M. Olson

IPC: G06K9/52 ,  G06K9/46 ,  G06T7/246

CPC classification number: G06K9/52 ,  G06K9/3233 ,  G06K9/4642 ,  G06K9/4661 ,  G06K9/4671 ,  G06K2009/4666 ,  G06T7/248 ,  G06T2207/10016

Abstract: Systems, methods, and computer readable media to rapidly identify and track an arbitrary sized object through a temporal sequence of frames is described. The object being tracked may initially be identified via a specified or otherwise known region-of-interest (ROI). A portion of that ROI can be used to generate an initial or reference histogram and luminosity measure, metrics that may be used to identify the ROI in a subsequent frame. For a frame subsequent to the initial or reference frame, a series of putative ROIs (each having its own location and size) may be identified and the “best” of the identified ROIs selected. As used here, the term “best” simply means that the more similar two frames' histograms and luminosity measures are, the better one is with respect to the other.

公开(公告)号：US20160358340A1

公开(公告)日：2016-12-08

申请号：US14869732

申请日：2015-09-29

Applicant: Apple Inc.

Inventor： Jianping Zhou ,  Geoffrey T. Anneheim ,  Xiaoxing Li ,  Benjamin M. Olson

IPC: G06T7/20 ,  G06T7/00 ,  G06K9/52 ,  H04N5/225 ,  G06T7/60 ,  G06K9/46 ,  H04N7/18

CPC classification number: G06K9/52 ,  G06K9/3233 ,  G06K9/4642 ,  G06K9/4661 ,  G06K9/4671 ,  G06K2009/4666 ,  G06T7/248 ,  G06T2207/10016

Abstract: Systems, methods, and computer readable media to rapidly identify and track an arbitrary sized object through a temporal sequence of frames is described. The object being tracked may initially be identified via a specified or otherwise known region-of-interest (ROI). A portion of that ROI can be used to generate an initial or reference histogram and luminosity measure, metrics that may be used to identify the ROI in a subsequent frame. For a frame subsequent to the initial or reference frame, a series of putative ROIs (each having its own location and size) may be identified and the “best” of the identified ROIs selected. As used here, the term “best” simply means that the more similar two frames' histograms and luminosity measures are, the better one is with respect to the other.

Abstract translation: 描述了通过帧的时间序列快速识别和跟踪任意大小的对象的系统，方法和计算机可读介质。 被跟踪的对象最初可以通过指定的或其他已知的感兴趣区域（ROI）来识别。 该ROI的一部分可用于生成初始或参考直方图和亮度度量，可用于识别后续帧中的ROI的度量。 对于初始或参考帧之后的帧，可以识别一系列推定的ROI（每个具有其自己的位置和大小），并且选择所识别的ROI的“最佳”。 如这里所使用的，术语“最佳”仅仅意味着更相似的两帧的直方图和亮度度量是相对于另一个更好的。