Samsung Electronics Co., Ltd.

Hyunjeong Lee

Sungjoo Suh

Chang Kyu Choi

Changbeom Park

Jaejoon Han

Byung In Yoo

Wonjun Kim

Jihye Kim

Youngsung Kim

Soonho Hwang

Seohyung Lee

Qiang Wang

Changyong Son

Joonah Park

Sungjun Lee

Jiaqian Yu

Sangha Lee

Cheolhong Son

Yiwei Chen

Soyoung Lee

Seungju Han

Jaebong Chun

Sumin Yun

Seung Wook Kim

Chihyun Cho

Hosaeng Kim

Woosup Lee

Wook Chang

Jingtao Xu

Siyang Pan

Dongwook Lee

Dohyoung Kim

Changho Lee

Namjoon Kim

Hyungjoo Lee

Kiho Cho

Junghyun Shim

Jungchul Kim

Sung Kwang Cho

Himchan Yun

Bumjin Cho

Kee-eung Kim

Kyungjae Lee

GaEun Lee

Hongil Kwon

Feng Qiu

Sewoong Kim

Jin Pyo Kim

Soonheung Kwon

Gyunghye Yang

Bomyoung Kim

Joonkee Cho

Jongoh Lim

Byung Seok Soh

Gaeun Lee

Jaeduck Lee

Sung Jung Cho

Yesul Ha

Yoon Sang Kim

Chyangbeom Park

A method and apparatus with object tracking is provided. The method includes generating a mixed filter by fusing a short-term filter with a long-term filter; and performing object tracking on a current frame image based on the mixed filter. The short-term filter is dependent on a prediction of the current frame image in a video sequence, and the long-term filter is a previously generated long-term filter or is generated by optimizing the previously generated long-term filter based on an object template feature pool.

Method and apparatus with object tracking

A processor-implemented method with object tracking includes: performing, using a first template, forward object tracking on first image frames in a first sequence group; determining a template candidate of a second template for second image frames in a second sequence group; performing backward object tracking on the first image frames using the template candidate; determining a confidence of the template candidate using a result of comparing a first tracking result determined by the forward object tracking performed on the first image frames and a second tracking result determined by the backward object tracking performed on the first image frames; determining the second template based on the confidence of the template candidate; and performing forward object tracking on the second image frames using the second template.

A processor-implemented method with target tracking includes: generating a first target tracking result based on a search region of a current frame image; determining a scale feature of the first target tracking result; predicting a scale of a target in the search region based on the scale feature of the first target tracking result; and generating a second target tracking result by adjusting the first target tracking result based on a scale predicting result.

Method and apparatus with target tracking

An electronic device comprising an antenna is provided. The electronic device includes a lateral member forming at least one region of the lateral surface of the electronic device, the lateral member including a first conductive portion, a second conductive portion, and a first non-conductive portion, a printed circuit board connected to one end of the second conductive portion, which is adjacent to the first conductive portion, and including a first region and a ground, the first region including a conductive layer, and a wireless communication circuit disposed on the printed circuit board. The conductive layer of the first region may be electrically connected to the ground, the first conductive portion may receive power from the wireless communication circuit at a first point and be grounded via the printed circuit board at a second point, and the second conductive portion may receive power from the wireless communication circuit.

Electronic device comprising antenna

An electronic device is provided. The electronic device includes a housing, an antenna structure, a first conductive material, and a second conductive material. The housing may be configured to provide a front surface and a rear surface of the electronic device. The antenna structure includes a printed circuit board positioned in the housing. The printed circuit board includes a first surface configured to face the front surface or the rear surface and a second surface configured to face a direction opposite to the first surface. The printed circuit board includes a first conductive layer, a second conductive layer, and a dielectric. The first conductive layer includes a first antenna element and a second antenna element which are configured so as not to overlap each other when viewed from above the first surface.

Electronic device including antenna

An electronic device includes a housing providing a front surface and a rear surface, an antenna including a printed circuit board within the housing and including a first surface facing the front surface and a second surface facing the rear surface. The printed circuit board includes a first conductive layer including a first antenna element and a second antenna element that do not overlap each other when viewed from above the first surface, a second conductive layer operating as a ground plane, and a dielectric between the first and second conductive layers. A conductive pattern is located between the front surface and the second surface when the first surface faces the rear surface and is located between the rear surface and the second surface when the first surface faces the front surface. The conductive pattern overlaps a part of the second conductive layer when viewed from above the first surface.

Electronic device including an antenna

An electronic device includes a housing including a front plate, a rear plate facing away from the front plate, and a side member surrounding a space between the front plate and the rear plate and connecting one side of the front plate to one side of the rear plate, an antenna structure including at least part of the conductive portion, and a printed circuit board disposed in the space and including at least one processor. At least part of the side member is a conductive portion. The conductive portion includes a first conductive pattern, a second conductive pattern disposed at least partially coupled to the first conductive pattern, and a third conductive pattern disposed at least partially coupled to the first conductive pattern and spaced apart from the second conductive pattern. The antenna structure includes a first feeding part electrically connected to a first location of the first conductive pattern, a second feeding part electrically connected to a second location of the first conductive pattern, wherein the second location is closer to the third conductive pattern than the first location, a first ground part electrically connected to a third location between the first location and the second location of the first conductive pattern, a second ground part electrically connected to a fourth location between the second location and the third location of the first conductive pattern, a switch electrically connected to a fifth location between the first location and the third location of the first conductive pattern, a third ground part electrically connected to a sixth location of the second conductive pattern, and a fourth ground part electrically connected to a seventh location of the third conductive pattern.

Antenna structure and electronic device including the same

A fingerprint verification method includes selecting one or more first fingerprint groups from among a plurality of fingerprint groups based on an input fingerprint image, each fingerprint group of the plurality of fingerprint groups including partial fingerprint images; and determining whether verification is successful based on the input fingerprint image and each of the partial fingerprint images included in the one or more first fingerprint groups.

Fingerprint verification method and apparatus

Disclosed are target tracking methods and apparatuses. The target tracking apparatus performs target tracking on an input image obtained in a first time period within a single time frame, using a light neural network in a second time period of the single time frame. The target tracking apparatus may perform target tracking on input images generated within the same time frame.

Method and apparatus for tracking target

An object tracking method includes generating a feature map of a search image and generating a feature map of a target image, obtaining an object classification result and a basic bounding box based on the feature map of the search image and the feature map of the target image, obtaining an auxiliary bounding box based on the feature map of the search image, obtaining a final bounding box based on the basic bounding box and the auxiliary bounding box, and tracking an object based on the object classification result and the final bounding box.

Object tracking method and apparatus

Disclosed is a user recognition apparatus and method, the apparatus configured to determine a validity of an iris area for each frame, to perform an iris recognition when the iris area is valid, and to extract a facial feature for a fusion recognition when the iris area is invalid.

Method and apparatus to recognize user

A method and apparatus for extracting an iris region is disclosed. The apparatus may generate a classification map associated with an iris region from an eye image using a trained neural network model, estimate a geometric parameter associated with the iris region using the generated classification map, and extract the iris region from the eye image based on the estimated geometric parameter.

Method and apparatus with iris region extraction

An authentication method and corresponding apparatus includes obtaining iris images, and constituting an enroll set including iris codes and mask codes corresponding to the iris images. The authentication method and corresponding apparatus also include generating a synthesized code including a synthesized iris code and a synthesized mask code based on correlations between the iris codes included in the enroll set in block units.

Authentication method and authentication apparatus using synthesized code for iris

Growing community of inventors

Hwaseong-si, South Korea

Hyunjeong Lee