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公开(公告)号：US20190130580A1
公开(公告)日：2019-05-02
申请号：US16158079
申请日：2018-10-11
Applicant: QUALCOMM Incorporated
Inventor： Ying CHEN , Yang ZHOU , Karthik NAGARAJAN , Ning BI
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.
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公开(公告)号：US20190130188A1
公开(公告)日：2019-05-02
申请号：US16147361
申请日：2018-09-28
Applicant: QUALCOMM Incorporated
Inventor： Yang ZHOU , Ying CHEN , Bolan JIANG
Abstract: Techniques and systems are provided for classifying objects in one or more video frames. For example, a plurality of object trackers maintained for a current video frame can be obtained. A plurality of classification requests can also be obtained. The classification requests are associated with a subset of object trackers from the plurality of object trackers, and are generated based on one or more characteristics associated with the subset of object trackers. Based on the obtained plurality of classification requests, an object tracker is selected from the subset of object trackers for object classification. For example, the object tracker can be selected from the subset of object trackers based on priorities assigned to the subset of object trackers. The object classification can then be performed for the selected at least one object tracker.
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公开(公告)号：US20180341813A1
公开(公告)日：2018-11-29
申请号：US15973114
申请日：2018-05-07
Applicant: QUALCOMM Incorporated
CPC classification number: G06K9/00744 , G06K9/00758 , G06K9/00771 , G06K9/03 , G06K9/4647 , G06T7/194 , G06T7/251 , G06T7/50 , G06T7/90 , G06T2207/10016 , G06T2207/20121
Abstract: Techniques and systems are provided for maintaining blob trackers for one or more video frames. For example, a blob tracker is identified for a current video frame. The blob tracker is associated with a blob detected for the current video frame. The blob includes pixels of at least a portion of one or more objects in the current video frame. A current characteristic of pixels in a region of the current video frame associated with the blob tracker is determined. A previous characteristic of pixels in a region of a previous video frame associated with the blob tracker is also determined. A difference is determined between the current characteristic and the previous characteristic, and a status of the blob tracker is determined based on the determined difference. The status of the blob tracker indicating whether to maintain the blob tracker for the one or more video frames.
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公开(公告)号：US20190130586A1
公开(公告)日：2019-05-02
申请号：US16159346
申请日：2018-10-12
Applicant: QUALCOMM Incorporated
Abstract: Provided are systems, methods, and computer-readable medium for maintaining blob trackers for video frames. The techniques and systems described herein identify a candidate sleeping tracker that is a false positive. In some examples, a false positive candidate sleeping tracker can be identified when an object associated with the candidate sleeping tracker was split from a previous object, and the object is within a target sleeping bounding region for the candidate sleeping tracker. The tracker for the object can be assigned a state that indicates that the blob will not continue to be tracked when the blob is detected as background. In some examples, a false positive candidate sleeping tracker can be identified when a maturity or age for the candidate sleeping tracker in insufficient.
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公开(公告)号：US20190130582A1
公开(公告)日：2019-05-02
申请号：US16172534
申请日：2018-10-26
Applicant: QUALCOMM Incorporated
Inventor： Ke-Li CHENG , Ying CHEN , Yang ZHOU , Chen-Lan Chester YEN
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.
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Patent Agency Ranking
公开(公告)号：US20190130191A1
公开(公告)日：2019-05-02
申请号：US16159355
申请日：2018-10-12
Applicant: QUALCOMM Incorporated
Inventor： Yang ZHOU , Ying CHEN , Chen-Lan Chester YEN
Abstract: Techniques and systems are provided for tracking objects in one or more video frames. For example, a candidate bounding box for an object tracker can be obtained based on an application of an object detector to at least one key frame in the one or more video frames, the candidate bounding box being associated with one or more input attributes. A set of metrics indicating a degree of change of one or more physical attributes of the object can also be determined. Based on the set of metrics, it can be determined whether to post-process the input attributes to generate one or more output attributes of a current output bounding box. An object can be tracked in a current frame using the current output bounding box.
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7.发明申请公开(公告)号：US20180342070A1
公开(公告)日：2018-11-29
申请号：US15973090
申请日：2018-05-07
Applicant: QUALCOMM Incorporated
CPC classification number: G06T7/246 , G06K9/00744 , G06K9/00771 , G06K9/03 , G06K2009/00738 , G06T7/194 , G06T7/60 , G06T7/90 , G06T2210/12
Abstract: Techniques and systems are provided for maintaining blob trackers for one or more video frames. For example, a blob tracker can be identified for a current video frame. The blob tracker is associated with a blob detected for the current video frame, and the blob includes pixels of at least a portion of one or more objects in the current video frame. One or more characteristics of the blob tracker are determined. The one or more characteristics are based on a bounding region history of the blob tracker. A confidence value is determined for the blob tracker based on the determined one or more characteristics, and a status of the blob tracker is determined based on the determined confidence value. The status of the blob tracker indicates whether to maintain the blob tracker for the one or more video frames. For example, the determined status can include a first type of blob tracker that is output as an identified blob tracker-blob pair, a second type of blob tracker that is maintained for further analysis, or a third type of blob tracker that is removed from a plurality of blob trackers maintained for the one or more video frames.
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公开(公告)号：US20190304102A1
公开(公告)日：2019-10-03
申请号：US16290790
申请日：2019-03-01
Applicant: QUALCOMM Incorporated
Inventor： Ying CHEN , Songan MAO , Yang ZHOU , Karthik NAGARAJAN
Abstract: Techniques and systems are provided for classifying objects in one or more video frames. An object tracker associated with an object in a current video frame can be selected for object classification. Object classification can be determined to be performed in a next video frame (instead of the current video frame) for the object associated with the selected tracker. An image patch to use for the object classification can be obtained from the next video frame. The image patch can be based on a first bounding region associated with the object tracker in the current video frame, can be based on a second bounding region associated with the tracker in the next video frame, or can be based on both the first and second bounding regions. The object classification can be performed for the object associated with the selected object tracker using the image patch from the next video frame.
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公开(公告)号：US20190130583A1
公开(公告)日：2019-05-02
申请号：US16172540
申请日：2018-10-26
Applicant: QUALCOMM Incorporated
Inventor： Ying CHEN , Yang ZHOU , Karthik NAGARAJAN
Abstract: Techniques and systems are provided for tracking objects in a sequence of video frames. For example, an object tracker maintained for the sequence of video frames is identified. An object tracked by the object tracker is detected based on an application of an object detector to at least one key frame in the sequence of video frames. The object detector can include a complex object detector. A status of the object tracker can be updated to a still status in a current video frame of the sequence of video frames. A tracker having the still status is associated with an object that is static in one or more video frames of the sequence of video frames. The object can be tracked in the current video frame using the object tracker based on the status of the object tracker being updated to the still status in the current video frame. For example, a bounding region of the object tracker in the current frame can be replaced with a previous bounding region of the object tracker in a previous frame based on the status of the object tracker being updated to the still status in the current video frame.
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10.发明申请公开(公告)号：US20190130189A1
公开(公告)日：2019-05-02
申请号：US16160970
申请日：2018-10-15
Applicant: QUALCOMM Incorporated
Abstract: Techniques and systems are provided for tracking objects in one or more video frames. For example, based on an application of an object detector to at least one key frame in the one or more video frames, a first set of bounding regions for a video frame can be obtained. A group of bounding regions can be determined from the first set of bounding regions. A bounding region from the group of bounding regoins can be removed based on one or more metrics associated with the bounding region. Object tracking for the video frame can be performed using an updated set of bounding regions that is based on removal of the bounding region from the group of bounding regions.
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