公开(公告)号：US20160171344A1

公开(公告)日：2016-06-16

申请号：US14567147

申请日：2014-12-11

Applicant: INTEL CORPORATION

Inventor： KE CHEN ,  BONGJIN JUN ,  YI-JEN CHIU ,  TAE-HOON KIM ,  DUKHWAN KIM

IPC: G06K9/62 ,  H04N19/90

CPC classification number: G06K9/6267 ,  G06K9/00228 ,  G06K9/4609 ,  G06K9/6203 ,  G06K9/6257 ,  G06K2009/4666 ,  H04N19/90

Abstract: Techniques related to object detection using binary coded images are discussed. Such techniques may include performing object detection based on multiple spatial correlation mappings between a generated binary coded image and a binary coded image based object detection model and nesting look up tables such that binary coded representations are grouped and such groups are associated with confidence values for performing object detection.

Abstract translation: 讨论与使用二进制编码图像的对象检测相关的技术。 这样的技术可以包括基于生成的二进制编码图像和基于二进制编码图像的对象检测模型和嵌套查找表之间的多个空间相关性映射执行对象检测，使得二进制编码表示被分组，并且这些组与用于执行的置信度值相关联 物体检测。

公开(公告)号：US20200210472A1

公开(公告)日：2020-07-02

申请号：US16696854

申请日：2019-11-26

Applicant: Intel Corporation

Inventor： BARNAN DAS ,  MAYURESH M. VARERKAR ,  NARAYAN BISWAL ,  STANLEY J. BARAN ,  GOKCEN CILINGIR ,  NILESH V. SHAH ,  ARCHIE SHARMA ,  SHERINE ABDELHAK ,  PRANEETHA KOTHA ,  NEELAY PANDIT ,  JOHN C. WEAST ,  MIKE B. MACPHERSON ,  DUKHWAN KIM ,  LINDA L. HURD ,  ABHISHEK R. APPU ,  ALTUG KOKER ,  JOYDEEP RAY

IPC: G06F16/583 ,  G06F16/783 ,  G06K9/00 ,  G06K9/62

Abstract: A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.

公开(公告)号：US20190332869A1

公开(公告)日：2019-10-31

申请号：US16379176

申请日：2019-04-09

Applicant: Intel Corporation

Inventor： MAYURESH M. VARERKAR ,  BARNAN DAS ,  NARAYAN BISWAL ,  STANLEY J. BARAN ,  GOKCEN CILINGIR ,  NILESH V. SHAH ,  ARCHIE SHARMA ,  SHERINE ABDELHAK ,  SACHIN GODSE ,  FARSHAD AKHBARI ,  NARAYAN SRINIVASA ,  ALTUG KOKER ,  NADATHUR RAJAGOPALAN SATISH ,  DUKHWAN KIM ,  FENG CHEN ,  ABHISHEK R. APPU ,  JOYDEEP RAY ,  PING T. TANG ,  MICHAEL S. STRICKLAND ,  XIAOMING CHEN ,  ANBANG YAO ,  TATIANA SHPEISMAN ,  VASANTH RANGANATHAN ,  SANJEEV JAHAGIRDAR

IPC: G06K9/00 ,  G06N3/063 ,  G06T1/20 ,  G06N3/08 ,  G06N3/04

Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.

公开(公告)号：US20230177817A1

公开(公告)日：2023-06-08

申请号：US17966067

申请日：2022-10-14

Applicant: Intel Corporation

Inventor： BARNAN DAS ,  MAYURESH M. VARERKAR ,  NARAYAN BISWAL ,  STANLEY J. BARAN ,  GOKCEN CILINGIR ,  NILESH V. SHAH ,  ARCHIE SHARMA ,  SHERINE ABDELHAK ,  PRANEETHA KOTHA ,  NEELAY PANDIT ,  JOHN C. WEAST ,  MIKE B. MACPHERSON ,  DUKHWAN KIM ,  LINDA L. HURD ,  ABHISHEK R. APPU ,  ALTUG KOKER ,  JOYDEEP RAY

IPC: G06V10/82 ,  G06F16/783 ,  G06F16/583 ,  G06V10/94 ,  G06V40/10 ,  G06V40/20 ,  G06F18/2413 ,  G06V10/764

CPC classification number: G06V10/82 ,  G06F16/784 ,  G06F16/5838 ,  G06V10/955 ,  G06V40/10 ,  G06V40/23 ,  G06V40/103 ,  G06F18/24143 ,  G06V10/764

Abstract: A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.

公开(公告)号：US20180300556A1

公开(公告)日：2018-10-18

申请号：US15488555

申请日：2017-04-17

Applicant: Intel Corporation

Inventor： MAYURESH M. VARERKAR ,  BARNAN DAS ,  NARAYAN BISWAL ,  STANLEY J. BARAN ,  GOKCEN CILINGIR ,  NILESH V. SHAH ,  ARCHIE SHARMA ,  SHERINE ABDELHAK ,  SACHIN GODSE ,  FARSHAD AKHBARI ,  NARAYAN SRINIVASA ,  ALTUG KOKER ,  NADATHUR RAJAGOPALAN SATISH ,  DUKHWAN KIM ,  FENG CHEN ,  ABHISHEK R. APPU ,  JOYDEEP RAY ,  PING T. TANG ,  MICHAEL S. STRICKLAND ,  XIAOMING CHEN ,  ANBANG YAO ,  TATIANA SHPEISMAN ,  Vasanth Ranganathan ,  Sanjeev Jahagirdir

IPC: G06K9/00 ,  G06T1/20

CPC classification number: G06K9/00771 ,  G06K9/00362 ,  G06K9/00711 ,  G06K2009/00738 ,  G06T1/20

Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.