Research Groups

In the Perception and Intelligence Lab, we perform research towards the technology to recognize and estimate the object or situation by processing information obtained from various sensor data including image. These techniques are applied to video surveillance systems, inspection devices, and robots. In particular, we are aiming at technologies such as motion detection, human and vehicle recognition, abnormal situation, and behavior recognition that adapt to environmental changes through probabilistic learning and deep learning.

▶ 최근 관심분야
- 딥러닝 (VAE, GAN, CNN, LSTM 등)에 기반한 컴퓨터 비전 연구
- 시간과 날씨 변화(구름, 눈, 비, 안개 등), 장소에 관계없이 감시 대상의 지속적인 탐지
- 감시 대상의 크기와 모양 변화, 가려짐 등의 방해 동작에서도 지속적인 추적
- 감시 대상의 움직임 분석을 통한 비정상적인 행동 및 상황 탐지
- 환경적 영향으로 감시가 열악한 상황의 영상을 감시 시스템에 적합하도록 영상 보정 및 향상
- 이동형 카메라에서 강인한 탐지 성능과 추적 성능 확보

▶ 주요 연구과제
- Thinking Machine: 다중 감각간 관계지식을 활용한 통합사고 신경망 연구, 연구재단
- 실외 무인 경비 로봇을 위한 멀티모달 지능형 정보분석 기술 개발, IITP
- 예지형 시각 지능 원천 기술 개발, IITP

[1] Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, and Jin Young Choi, "Action-Driven Visual Object Tracking With Deep Reinforcement Learning," IEEE Transactions on Neural Networks and Learning Systems, PP(99):1-14 · March 2018.
[2] Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, and Jin Young Choi, "Context-aware Deep Feature Compression for High-speed Visual Tracking", IEEE Computer Vision and Pattern Recognition (CVPR), 2018.
[3] Moonsub Byeon, HaanjuYoo, KikyungKim, SonghwaiOh, and Jin Young Choi, "Unified Optimization Framework for Localization and Tracking of Multiple Targets with Multiple Cameras." Computer Vision and Image Understanding, Volume 166, Pages 51-65, January 2018.
[4] Tushar Sandhan and Jin Young Choi, "Simultaneous Detection and Removal of High Altitude Clouds from an Image​", International Conference on Computer Vision (ICCV), 2017
[5] Tushar Sandhan and Jin Young Choi, "Anti-Glare: Tightly Constrained Optimization for Eyeglass Reflection Removal​", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
[6] Youngjoon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, and Jin Young Choi, "Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
[7] Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, and Jin Young Choi, "Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Spotlight), 2017
[8] Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, and Jin Young Choi, "Attentional Correlation Filter Network for Adaptive Visual Tracking", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
[9] Kimin Yun, Jongin Lim, and Jin Young Choi, "Scene Conditional Background Update for Moving Object Detection in a Moving Camera", Pattern Recognition Letters, Vol 88, pp. 57-63, 1 March 2017.
[10] Kimin Yun, Youngjoon Yoo, and Jin Young Choi, "Motion Interaction Field for Detection of Abnormal Interactions", Machine Vision and Applications ,Volume 28, Issue 1, pp 157–171,February 2017.