自动化技术、计算机技术 |
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室内环境中人穿携物品归属关系自主学习框架 |
吴皓1( ),李文静1,田国会1,*( ),陈兆伟1,杨勇2 |
1. 山东大学 控制科学与工程学院,山东 济南 250061 2. 济南皓源自控系统工程有限公司,山东 济南 250061 |
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Self-learning framework for attribution relationship of people carrying objects under family environment |
Hao WU1( ),Wen-jing LI1,Guo-hui TIAN1,*( ),Zhao-wei CHEN1,Yong YANG2 |
1. School of Control Science and Engineering, Shandong University, Jinan 250061, China 2. Jinan Haoyuan Automatic Control System Engineering Limited Company, Jinan 250061, China |
引用本文:
吴皓,李文静,田国会,陈兆伟,杨勇. 室内环境中人穿携物品归属关系自主学习框架[J]. 浙江大学学报(工学版), 2019, 53(7): 1315-1322.
Hao WU,Wen-jing LI,Guo-hui TIAN,Zhao-wei CHEN,Yong YANG. Self-learning framework for attribution relationship of people carrying objects under family environment. Journal of ZheJiang University (Engineering Science), 2019, 53(7): 1315-1322.
链接本文:
http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2019.07.010
或
http://www.zjujournals.com/eng/CN/Y2019/V53/I7/1315
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1 |
HSIEH J W, CHENG J C, CHEN L C, et al Handheld object detection and its related event analysis using ratio histogram and mixture of HMMs[J]. Journal of Visual Communication and Image Representation, 2014, 25 (6): 1399- 1415
doi: 10.1016/j.jvcir.2014.05.009
|
2 |
RIVERA-RUBIO J, IDREES S, ALEXIOU I, et al. A dataset for hand-held object recognition [C] // IEEE International Conference on Image Processing. Paris: IEEE, 2015: 5881-5885.
|
3 |
LV X, JIANG S Q, HERRANZ L, et al RGB-D hand-held object recognition based on heterogeneous feature fusion[J]. Computer Science and Technology, 2015, 30 (2): 340- 352
doi: 10.1007/s11390-015-1527-0
|
4 |
LI X, JIANG S Q, LV X, et al. Learning to recognize hand-held objects from scratch [C] // Advances in Multimedia Information Processing. Berlin: Springer, 2016: 527–539.
|
5 |
YAMAGUCHI K, KIAPOUR M H, ORTIZ L E, et al. Parsing clothing in fashion photographs [C] // Computer Vision and Pattern Recognition. Phode Island: IEEE, 2012: 3570-3577.
|
6 |
LIANG X D, XU C Y, SHEN X H, et al. Human parsing with contextualized convolutional neural network [C] // IEEE International Conference on Computer Vision. Santiago: IEEE, 2015: 1386-1394.
|
7 |
GONG K, LIANG X D, ZHANG D Y, et al. Look into person: self-supervised structure-sensitive learning and a new benchmark for human parsing [C] // IEEE Conference on Computer Vision and Pattern Recognition. Honolulu: IEEE, 2017: 932-940.
|
8 |
CHEN X J, MOTTAGHI R, LIU X B, et al. Detect what you can: detecting and representing objects using holistic models and body parts [C] // Computer Vision and Pattern Recognition. Columbus: IEEE, 2014: 1979-1986.
|
9 |
LI J S, ZHAO J, WEI Y C, et al. Towards real world human parsing: multiple-human parsing in the wild [C] // Computer Vision and Pattern Recognition. Honolulu: IEEE, 2017.
|
10 |
LIU W, ANGUELOV D, ERHAN D, et al. SSD: single shot multibox detector [C] // European Conference on Computer Vision. Berlin: Springer, 2016: 21-37.
|
11 |
LIN T Y, GOYAL P, GIRSHICK R, et al. Focal loss for dense object detection [C] // Proceedings of the IEEE International Conference on Computer Vision. Venice: IEEE, 2017: 2999-3007.
|
12 |
IOFFE S, SZEGEDY C. Batch normalization: accelerating deep network training by reducing internal covariate shift [C] // Proceedings of the 32nd International Conference on Machine Learning. Coimbra: ACM, 2015: 448-456.
|
13 |
SARAFIANOS N, BOTEANU B, IONESCU B, et al 3D human pose estimation: a review of the literature and analysis of covariates[J]. Computer Vision and Image Understanding, 2016, 152: 1- 20
doi: 10.1016/j.cviu.2016.09.002
|
14 |
CAO Z, SIMON T, WEI S E, et al. Realtime multi-person 2D pose estimation using part affinity fields [C] // Computer Vision and Pattern Recognition. Las Vegas: IEEE, 2016: 1302-1310.
|
15 |
CHENG M M. Saliency and similarity detection for image scene analysis [D]. Tianjin: NanKai University, 2012: 33-56.
|
16 |
ZHAO Z Q, HUANG D S, SUN B Y Human face recognition based on multi-features using neural networks committee[J]. Pattern Recognition Letters, 2004, 25 (12): 1351- 1358
doi: 10.1016/j.patrec.2004.05.008
|
17 |
GEETHA K P, VADIVELU S S, SINGH N A. Human face recognition using neural networks [C] // Radio Science Conference. Cairo: IEEE, 2012: 260-263.
|
18 |
YANG S, LUO P, CHEN C L, et al. WIDER FACE: a face detection benchmark [C] // Computer Vision and Pattern Recognition. Las Vegas: IEEE, 2016: 5525-5533.
|
19 |
LIU Z, LUO P, WANG X, et al. Deep learning face attributes in the wild [C] // Proceedings of the IEEE International Conference on Computer Vision. Boston: IEEE, 2015: 3730-3738.
|
20 |
WANG M, DENG W. Deep face recognition: a survey [C] // Computer Vision and Pattern Recognition. Salt Lake City: IEEE, 2018: 471-478.
|
21 |
ZHANG K, ZHANG Z, LI Z, et al Joint face detection and alignment using multitask cascaded convolutional networks[J]. IEEE Signal Processing Letters, 2016, 23 (10): 1499- 1503
doi: 10.1109/LSP.2016.2603342
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