公开(公告)号：WO2019005291A1

公开(公告)日：2019-01-03

申请号：PCT/US2018/030875

申请日：2018-05-03

Applicant: QUALCOMM INCORPORATED

Inventor： ZHOU, Yang ,  CHEN, Ying ,  QI, Yingyong ,  BI, Ning

IPC: G06T7/246

Abstract: In various implementations, object tracking in a video content analysis system can be augmented with an image-based object re-identification system (e.g., for person re- identification or re-identification of other objects) to improve object tracking results for objects moving in a scene. The object re-identification system can use image recognition principles, which can be enhanced by considering data provided by object trackers that can be output by an object traffic system. In a testing stage, the object re-identification system can selectively test object trackers against object models. For most input video frames, not all object trackers need be tested against all object models. Additionally, different types of object trackers can be tested differently, so that a context provided by each object tracker can be considered. In a training stage, object models can also be selectively updated.

公开(公告)号：WO2019089441A1

公开(公告)日：2019-05-09

申请号：PCT/US2018/057967

申请日：2018-10-29

Applicant: QUALCOMM INCORPORATED

Inventor： CHENG, Ke-Li ,  CHEN, Ying ,  ZHOU, Yang ,  YEN, Chen-Lan Chester

IPC: G06T7/246 ,  G06T7/254

Abstract: Provided are methods, apparatus, and computer-readable mediums for tracking objects that intersect with an exclusion zone defined for a scene being captured by a video camera. An exclusion zone can delineate an area of a video frame where background objects may be moving. The exclusion zone informs an object tracking system that objects within the exclusion zone should not be tracked. In various implementations, the object tracking system can determine that a bounding box for a blob intersects with the exclusion zone. The object tracking system can further, based on the bounding box intersecting with the exclusion zone, prevent outputting of a blob tracker associated with the blob.

公开(公告)号：WO2019083738A1

公开(公告)日：2019-05-02

申请号：PCT/US2018/055544

申请日：2018-10-12

Applicant: QUALCOMM INCORPORATED

Inventor： CHEN, Ying ,  ZHOU, Yang ,  NAGARAJAN, Karthik ,  BI, Ning

IPC: G06K9/00

Abstract: Techniques and systems are provided for tracking objects in one or more video frames. For example, a first set of one or more bounding regions are determined for a video frame based on a trained classification network applied to the video frame. The first set of one or more bounding regions are associated with one or more objects in the video frame. One or more blobs can be detected for the video frame. A blob includes pixels of at least a portion of an object in the video frame. A second set of one or more bounding regions are determined for the video frame that are associated with the one or more blobs. A final set of one or more bounding regions is determined for the video frame using the first set of one or more bounding regions and the second set of one or more bounding regions. Object tracking can then be performed for the video frame using the final set of one or more bounding regions.

公开(公告)号：WO2019083738A9

公开(公告)日：2019-05-02

申请号：PCT/US2018/055544

申请日：2018-10-12

Applicant: QUALCOMM INCORPORATED

Inventor： CHEN, Ying ,  ZHOU, Yang ,  NAGARAJAN, Karthik ,  BI, Ning

IPC: G06K9/00

Abstract: Techniques and systems are provided for tracking objects in one or more video frames. For example, a first set of one or more bounding regions are determined for a video frame based on a trained classification network applied to the video frame. The first set of one or more bounding regions are associated with one or more objects in the video frame. One or more blobs can be detected for the video frame. A blob includes pixels of at least a portion of an object in the video frame. A second set of one or more bounding regions are determined for the video frame that are associated with the one or more blobs. A final set of one or more bounding regions is determined for the video frame using the first set of one or more bounding regions and the second set of one or more bounding regions. Object tracking can then be performed for the video frame using the final set of one or more bounding regions.