CN111462149B - 一种基于视觉显著性的实例人体解析方法 - Google Patents
一种基于视觉显著性的实例人体解析方法 Download PDFInfo
- Publication number
- CN111462149B CN111462149B CN202010148744.3A CN202010148744A CN111462149B CN 111462149 B CN111462149 B CN 111462149B CN 202010148744 A CN202010148744 A CN 202010148744A CN 111462149 B CN111462149 B CN 111462149B
- Authority
- CN
- China
- Prior art keywords
- human body
- human
- saliency
- edge detection
- map
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000000007 visual effect Effects 0.000 title claims abstract description 36
- 238000004458 analytical method Methods 0.000 title claims abstract description 35
- 230000011218 segmentation Effects 0.000 claims abstract description 61
- 238000003708 edge detection Methods 0.000 claims abstract description 39
- 238000001514 detection method Methods 0.000 claims abstract description 24
- 238000000605 extraction Methods 0.000 claims abstract description 22
- 230000004927 fusion Effects 0.000 claims abstract description 7
- 238000010586 diagram Methods 0.000 claims description 25
- 238000000034 method Methods 0.000 claims description 18
- 238000011176 pooling Methods 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 3
- 230000004913 activation Effects 0.000 claims description 2
- 230000006872 improvement Effects 0.000 claims description 2
- 101100295091 Arabidopsis thaliana NUDT14 gene Proteins 0.000 claims 3
- 238000007500 overflow downdraw method Methods 0.000 claims 1
- 230000006870 function Effects 0.000 description 5
- 238000012549 training Methods 0.000 description 4
- 238000010606 normalization Methods 0.000 description 3
- 238000013459 approach Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000004438 eyesight Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 241000282412 Homo Species 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000004456 color vision Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000004807 localization Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000009827 uniform distribution Methods 0.000 description 1
- 230000016776 visual perception Effects 0.000 description 1
- 230000002087 whitening effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration using local operators
- G06T5/30—Erosion or dilatation, e.g. thinning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computational Linguistics (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Image Analysis (AREA)
Abstract
Description
Claims (9)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010148744.3A CN111462149B (zh) | 2020-03-05 | 2020-03-05 | 一种基于视觉显著性的实例人体解析方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010148744.3A CN111462149B (zh) | 2020-03-05 | 2020-03-05 | 一种基于视觉显著性的实例人体解析方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111462149A CN111462149A (zh) | 2020-07-28 |
CN111462149B true CN111462149B (zh) | 2023-06-06 |
Family
ID=71684972
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010148744.3A Active CN111462149B (zh) | 2020-03-05 | 2020-03-05 | 一种基于视觉显著性的实例人体解析方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111462149B (zh) |
Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112149494A (zh) * | 2020-08-06 | 2020-12-29 | 中国地质大学(武汉) | 一种多人姿态识别方法及系统 |
CN112000099A (zh) * | 2020-08-26 | 2020-11-27 | 大连理工大学 | 动态环境下协作机器人柔性路径规划方法 |
CN113159026A (zh) * | 2021-03-31 | 2021-07-23 | 北京百度网讯科技有限公司 | 图像处理方法、装置、电子设备和介质 |
CN112883948B (zh) * | 2021-05-06 | 2021-09-03 | 深圳市城市交通规划设计研究中心股份有限公司 | 一种语义分割与边缘检测模型建立及护栏异常监测方法 |
CN113192093B (zh) * | 2021-05-10 | 2023-04-18 | 新疆大学 | 基于双流网络结构的快速显著性目标检测方法 |
WO2023047167A1 (en) * | 2021-09-21 | 2023-03-30 | Sensetime International Pte. Ltd. | Stacked object recognition method, apparatus and device, and computer storage medium |
AU2021240229B1 (en) * | 2021-09-21 | 2023-02-02 | Sensetime International Pte. Ltd. | Stacked object recognition method, apparatus and device, and computer storage medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109035293A (zh) * | 2018-05-22 | 2018-12-18 | 安徽大学 | 适用于视频图像中显著人体实例分割的方法 |
CN109118459A (zh) * | 2017-06-23 | 2019-01-01 | 南开大学 | 图像显著性物体检测方法和装置 |
CN109409240A (zh) * | 2018-09-28 | 2019-03-01 | 北京航空航天大学 | 一种结合随机游走的SegNet遥感图像语义分割方法 |
CN110363140A (zh) * | 2019-07-15 | 2019-10-22 | 成都理工大学 | 一种基于红外图像的人体动作实时识别方法 |
CN110414513A (zh) * | 2019-07-31 | 2019-11-05 | 电子科技大学 | 基于语义增强卷积神经网络的视觉显著性检测方法 |
CN110674685A (zh) * | 2019-08-19 | 2020-01-10 | 电子科技大学 | 一种基于边缘信息增强的人体解析分割模型及方法 |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
AU2008222789B2 (en) * | 2007-03-08 | 2013-08-22 | Doheny Eye Institute | Saliency-based apparatus and methods for visual prostheses |
-
2020
- 2020-03-05 CN CN202010148744.3A patent/CN111462149B/zh active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109118459A (zh) * | 2017-06-23 | 2019-01-01 | 南开大学 | 图像显著性物体检测方法和装置 |
CN109035293A (zh) * | 2018-05-22 | 2018-12-18 | 安徽大学 | 适用于视频图像中显著人体实例分割的方法 |
CN109409240A (zh) * | 2018-09-28 | 2019-03-01 | 北京航空航天大学 | 一种结合随机游走的SegNet遥感图像语义分割方法 |
CN110363140A (zh) * | 2019-07-15 | 2019-10-22 | 成都理工大学 | 一种基于红外图像的人体动作实时识别方法 |
CN110414513A (zh) * | 2019-07-31 | 2019-11-05 | 电子科技大学 | 基于语义增强卷积神经网络的视觉显著性检测方法 |
CN110674685A (zh) * | 2019-08-19 | 2020-01-10 | 电子科技大学 | 一种基于边缘信息增强的人体解析分割模型及方法 |
Non-Patent Citations (4)
Title |
---|
Jing Zhang, et.al.Holistic, instance-level human parsing.《arxiv:1709.03612v1》.2017,第1-10页. * |
Wei L, et.al.A spatiotemporal saliency model of visual attention based on maximum entropy.《The 2010 Canadian geomatics conference and symposium of commission I, ISPRS convergence in geomatics U shaping Canada's competitive landscape》.2010,第1-5页. * |
赵旭.基于医学先验的多尺度乳腺超声肿瘤实例分割方法.《中国优秀硕士学位论文全文数据库 (医药卫生科技辑)》.2020,(第2期),第E060-84页. * |
邵杰等.基于深度学习的人体解析研究综述.《电子科技大学学报》.2019,第第48卷卷(第第48卷期),第644-654页. * |
Also Published As
Publication number | Publication date |
---|---|
CN111462149A (zh) | 2020-07-28 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111462149B (zh) | 一种基于视觉显著性的实例人体解析方法 | |
CN109598268B (zh) | 一种基于单流深度网络的rgb-d显著目标检测方法 | |
CN110956094B (zh) | 一种基于非对称双流网络的rgb-d多模态融合人员检测方法 | |
CN109829443B (zh) | 基于图像增强与3d卷积神经网络的视频行为识别方法 | |
Chen et al. | Single-image depth perception in the wild | |
Pang et al. | Visual haze removal by a unified generative adversarial network | |
Yin et al. | Recurrent convolutional network for video-based smoke detection | |
Phung et al. | A universal and robust human skin color model using neural networks | |
Wei et al. | Boosting deep attribute learning via support vector regression for fast moving crowd counting | |
CN111523410A (zh) | 一种基于注意力机制的视频显著性目标检测方法 | |
CN112801027B (zh) | 基于事件相机的车辆目标检测方法 | |
CN111832443B (zh) | 一种施工违规行为检测模型的构建方法及其应用 | |
CN112686207B (zh) | 一种基于区域信息增强的城市街道场景目标检测方法 | |
CN111639564B (zh) | 一种基于多注意力异构网络的视频行人重识别方法 | |
CN113536972B (zh) | 一种基于目标域伪标签的自监督跨域人群计数方法 | |
CN110008846B (zh) | 一种图像处理方法 | |
CN112465727A (zh) | 基于HSV色彩空间和Retinex理论的无正常光照参考的低照度图像增强方法 | |
CN109766828A (zh) | 一种车辆目标分割方法、装置及通信设备 | |
CN112581409A (zh) | 一种基于端到端的多重信息蒸馏网络的图像去雾方法 | |
CN111582074A (zh) | 一种基于场景深度信息感知的监控视频树叶遮挡检测方法 | |
CN114627269A (zh) | 一种基于深度学习目标检测的虚拟现实安防监控平台 | |
CN114387195A (zh) | 一种基于非全局预增强的红外图像与可见光图像融合方法 | |
Chato et al. | Image processing and artificial neural network for counting people inside public transport | |
CN113255464A (zh) | 一种飞机动作识别方法及系统 | |
CN116503776A (zh) | 一种基于时间自适应的时空注意力视频行为识别方法 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
TR01 | Transfer of patent right |
Effective date of registration: 20240314 Address after: 230000 floor 1, building 2, phase I, e-commerce Park, Jinggang Road, Shushan Economic Development Zone, Hefei City, Anhui Province Patentee after: Dragon totem Technology (Hefei) Co.,Ltd. Country or region after: China Address before: 430000 Lu Mill Road, Hongshan District, Wuhan, Hubei Province, No. 388 Patentee before: CHINA University OF GEOSCIENCES (WUHAN CITY) Country or region before: China |
|
TR01 | Transfer of patent right | ||
TR01 | Transfer of patent right |
Effective date of registration: 20240710 Address after: 201100 area a, 1st floor, building 104, no.1-30, Lane 88, Minbei Road, Minhang District, Shanghai Patentee after: Shanghai dingang Technology Co.,Ltd. Country or region after: China Address before: 230000 floor 1, building 2, phase I, e-commerce Park, Jinggang Road, Shushan Economic Development Zone, Hefei City, Anhui Province Patentee before: Dragon totem Technology (Hefei) Co.,Ltd. Country or region before: China |
|
TR01 | Transfer of patent right |