Qualcomm Incorporated

Motorola Solutions, Inc.

Feng Guo

Ning Bi

Yingyong Qi

Jianfeng Ren

Ruiduo Yang

Kuo-Chun Lee

Yang Yang

Xinzhou Wu

Dashan Gao

Shuxue Quan

Bijan Forutanpour

Xin Zhong

Tao Zhang

Fangqi Hu

Shili Xu

Tom Chin

Wei Zhang

Guangming Shi

Yu Albert Wang

Lei Xu

Mainak Biswas

Chienchung Chang

Himanshu Arora

Chun Woo Lee

Nitin Pant

Boaz J Super

Shan Qing

Doo Seok Kim

Jong Ro Park

Bolan Jiang

Junchen Du

Patrick Lim

Kyoung Cheol Oh

Phi Hung Nguyen

Bo Zhou

Sichao Yang

Xinping Zhang

Michael Warren Castelloe

Kuen-Han Lin

Ashwath Harthattu

Ta Yan Siu

A method performed by an electronic device is described. The method includes obtaining a first frame of a scene. The method also includes performing object recognition of at least one object within a first bounding region of the first frame. The method further includes performing object tracking of the at least one object within the first bounding region of the first frame. The method additionally includes determining a second bounding region of a second frame based on the object tracking. The second frame is subsequent to the first frame. The method also includes determining whether the second bounding region is valid based on a predetermined object model.

Systems and methods for object tracking

An apparatus includes a first sensor configured to generate first sensor data. The first sensor data is related to an occupant of a vehicle. The apparatus further includes a depth sensor and a processor. The depth sensor is configured to generate data corresponding to a volume associated with at least a portion of the occupant. The processor is configured to receive the first sensor data and to activate the depth sensor based on the first sensor data.

System and method of depth sensor activation

A method performed by an electronic device is described. The method includes obtaining a combined image. The combined image includes a combination of images captured from one or more image sensors. The method also includes obtaining depth information. The depth information is based on a distance measurement between a depth sensor and at least one object in the combined image. The method further includes adjusting a combined image visualization based on the depth information.

Systems and methods for adjusting a combined image visualization based on depth information

An apparatus includes an object detector configured to receive image data of a scene viewed from the apparatus and including an object. The image data is associated with multiple scale space representations of the scene. The object detector is configured to detect the object responsive to location data and a first scale space representation of the multiple scale space representations.

Object detection using location data and scale space representations of image data

A system and method of object detection are disclosed. In a particular implementation, a method of processing an image includes receiving, at a processor, image data associated with an image of a scene. The scene includes a road region. The method further includes detecting the road region based on the image data and determining a subset of the image data. The subset excludes at least a portion of the image data corresponding to the road region. The method further includes performing an object detection operation on the subset of the image data to detect an object. The object detection operation performed on the subset of the image data is exclusive of the at least a portion of the image data corresponding to the road region.

System and method of object detection

An electronic device is described. The electronic device includes a processor. The processor is configured to obtain images from a plurality of cameras. The processor is also configured to project each image to a respective 3-dimensional (3D) shape for each camera. The processor is further configured to generate a combined view from the images.

Systems and methods for producing a combined view from fisheye cameras

A method performed by an electronic device is described. The method includes determining a haziness confidence level based on multiple modalities. The method also includes determining whether to perform an action based on the haziness confidence level. The method may include performing the action, including performing haziness reduction based on the haziness confidence level.

Systems and methods for haziness detection

A method for three-dimensional face generation is described. An inverse depth map is calculated based on a depth map and an inverted first matrix. The inverted first matrix is generated from two images in which pixels are aligned vertically and differ horizontally. The inverse depth map is normalized to correct for distortions in the depth map caused by image rectification. A three-dimensional face model is generated based on the inverse depth map and one of the two images.

Systems and methods for producing a three-dimensional face model

A method of processing data includes receiving, at a computing device, data representative of an image captured by an image sensor. The method also includes determining a first scene clarity score. The method further includes determining whether the first scene clarity score satisfies a threshold, and if the first scene clarity score satisfies the threshold, determining a second scene clarity score based on second data extracted from the data.

Environmental scene condition detection

Methods and apparatus for capturing an image using an automatic focus are disclosed herein. In one aspect, a method is disclosed which includes communicating, using a camera, with a wireless device via a wireless communication network. The method further includes determining a distance between the camera and the wireless device using the wireless communication network and adjusting a focus of the camera based upon the determined distance. Finally, the method includes capturing an image using the adjusted focus of the camera. In some aspects, this method may be done on a smartphone or digital camera which includes Wi-Fi capabilities.

Method and apparatus for camera autofocus based on Wi-Fi ranging technique

A method for memory utilization by an electronic device is described. The method includes transferring a first portion of a first decision tree and a second portion of a second decision tree from a first memory to a cache memory. The first portion and second portion of each decision tree are stored contiguously in the first memory. The first decision tree and second decision tree are each associated with a different feature of an object detection algorithm. The method also includes reducing cache misses by traversing the first portion of the first decision tree and the second portion of the second decision tree in the cache memory based on an order of execution of the object detection algorithm.

Systems and methods for memory utilization for object detection

Apparatus and methods for facial detection are disclosed. A plurality of images of an observed face is received for identification. Based at least on two or more selected images of the plurality of images, a template of the observed face is generated. In some embodiments, the template is a subspace generated based on feature vectors of the plurality of received images. A database of identities and corresponding facial data of known persons is searched based at least on the template of the observed face and the facial data of the known persons. One or more identities of the known persons are selected based at least on the search.

Method and apparatus for facial recognition

A method and apparatus for providing targeted advertisements is provided herein. In particular, targeted advertisements are provided to users based on face clustering for time-varying video. During operation video is continuously obtained of users of the system. Users' faces are detected and measured. Measurements of users' faces are then clustered. Once the clusters are available, advertisements are targeted at clusters rather than individual users.

Targeted advertisement based on face clustering for time-varying video

Methods and apparatus for setting the connection identifier (CID) mask length of a Hybrid Automatic Repeat-Request (HARQ)-MAP or a SUB-MAP pointer information element (IE) in a compressed downlink map (DL-MAP) of an orthogonal frequency-division multiple access (OFDMA) frame are provided in an effort to reduce the number of false indications in the CID mask, while also striving, as a secondary concern, to reduce the CID mask length. In this manner, an individual mobile station (MS) may not waste processing, battery power, or time interpreting a HARQ-MAP message or a sub downlink/uplink map (SUB-DL-UL-MAP) message that was not intended for this particular MS. For some embodiments where the CID mask length is set to be small, the control overhead (i.e., the size of the HARQ-MAP or the SUB-MAP pointer IE) may be decreased, and more of the OFDMA frame may be available for data traffic.

Methods and systems for setting CID mask length of a HARQ-MAP/SUB-MAP pointer IE in WiMAX systems

Techniques for efficient transmission of messages in a ranging procedure between a mobile station (MS) and a base station (BS) are provided. The techniques may allow efficient bandwidth allocation for the ranging procedure.

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San Diego, CA, United States of America

Feng Guo