Robotics and Computer Vision Lab

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International Conference
2014.10.25 12:21

A Two Phase Approach for Pedestrian Detection

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저 자 Soonmin Hwang, Tae-Hyun Oh, In So Kweon
학 회 The 12th Asian Conference on Computer Vision Workshops (ACCV Workshops)
Notes <Acknowledgement > This work was supported by the Development of Autonomous Emergency Braking System for Pedestrian Protection project funded by the Ministry of Trade, Industry and Energy of Korea. (MOTIE)(No.10044775)
논문일시(Year) 2014
논문일시(Month) 11
Most of current pedestrian detectors have pursued high detection rate without carefully considering sample distributions. In this paper, we argue that the following characteristics must be considered; 1)large intra-class variation of pedestrians (multi-modality), and 2) data imbalance between positives and negatives. Pedestrian detection can be regarded as one of nding needles in a haystack problems (rare class detection). Inspired by a rare class detection technique, we propose a two-phase classi er integrating an existing baseline detector and a hard negative expert by separately conquering recall and precision. Main idea behind the hard negative expert is to reduce sample space to be learned, so that informative decision boundaries can be e ectively learned. The multi-modality problem is dealt with a simple variant of a LDA based random forests as the hard negative expert. We optimally integrate two models by learned integration rules. By virtue of the two-phase structure, our method achieve competitive performance with only little additional computation. Our approach achieves 38.44% mean miss-rate for the reasonable setting of Caltech Pedestrian Benchmark.

List of Articles
428. Fast Randomized Singular Value Thresholding for Nuclear Norm Minimization
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427. Multispectral Pedestrian Detection: Benchmark Dataset and Baselines
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426. 깊이 영상 처리를 위한 학습기반 신뢰도 추정 및 재질 분류
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제 27회 영상처리 및 이해에 관한 워크샵 (IPIU) 2015 / 02
425. 잔디 환경에서 단일 카메라와 보조 감시카메라를 이용한 로봇 자세 추정
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424. 음악 인터페이스를 위한 깊이 영상 기반의 속도 감응형 터치 센서
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제 27회 영상처리 및 이해에 관한 워크샵 (IPIU) 2015 / 02
423. 컬러-열영상 퓨전을 통한 강인한 보행자 검출 기법
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422. 강인한 보행자 검출을 위한 Plug-in 모델
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421. 시야 공유가 없는 다중 카메라를 이용한 사람 추적
Junsik Kim, Kyungdon Joo, Tae-Hyun Oh, Jaesik Park, In So Kweon
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420. An Autonomous Driving System for Unknown Environments using a Unified Map
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419. Specular Reflection Separation Using Dark Channel Prior
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418. Hybrid vision-based SLAM coupled with moving object tracking
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417. Sensor Fusion of Cameras and a Laser for City-Scale 3D Reconstruction
Yunsu Bok, Dong-Geol Choi, In So Kweon
Sensors 2014 / 11
» A Two Phase Approach for Pedestrian Detection
Soonmin Hwang, Tae-Hyun Oh, In So Kweon
The 12th Asian Conference on Computer Vision Workshops (ACCV Workshops) 2014 / 11
415. Time-of-flight sensor calibration for a color and depth camera pair
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IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2015 / 07
414. High Quality Depth Map Upsampling and Completion for RGB-D cameras
Jaesik Park, Hyeongwoo Kim, Yu-Wing Tai, Michael S. Brown, In So Kweon
IEEE Transactions on Image Processing (TIP) 2014 / 09
413. Robust High Dynamic Range Imaging by Rank Minimization
Tae-Hyun Oh, Joon-Young Lee, Yu-Wing Tai, In So Kweon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2015 / 06
412. 저가형 보드를 탑재한 로봇 비전 알고리즘을 위한 특징량 압축 기법
Yukyung Choi, Chaehoon Park, In So Kweon
제9회 한국로봇종합학술대회 2014 / 06
411. Robust Binary Feature Using Intensity Order
Yukyung Choi, Chaehoon Park, Joon-Young Lee, In So Kweon
The 12th Asian Conference on Computer Vision (ACCV) 2014 / 11
410. Accelerated kmeans Clustering using Binary Random Projection
Yukyung Choi, Chaehoon Park, In So Kweon
The 12th Asian Conference on Computer Vision (ACCV) 2014 / 11
409. Real-time Head Orientation from a Monocular Camera using Deep Neural Network
Byungtae Ahn, Jaesik Park, In So Kweon
The 12th Asian Conference on Computer Vision (ACCV) 2014 / 11
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