CN110428450B - 应用于矿井巷道移动巡检图像的尺度自适应目标跟踪方法 - Google Patents
应用于矿井巷道移动巡检图像的尺度自适应目标跟踪方法 Download PDFInfo
- Publication number
- CN110428450B CN110428450B CN201910707197.5A CN201910707197A CN110428450B CN 110428450 B CN110428450 B CN 110428450B CN 201910707197 A CN201910707197 A CN 201910707197A CN 110428450 B CN110428450 B CN 110428450B
- Authority
- CN
- China
- Prior art keywords
- scale
- lqc
- hog
- video frame
- characteristic
- 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
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/269—Analysis of motion using gradient-based methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/50—Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
- G06V10/507—Summing image-intensity values; Histogram projection analysis
-
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- 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
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/467—Encoded features or binary features, e.g. local binary patterns [LBP]
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Image Analysis (AREA)
Abstract
Description
Claims (8)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910707197.5A CN110428450B (zh) | 2019-08-01 | 2019-08-01 | 应用于矿井巷道移动巡检图像的尺度自适应目标跟踪方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910707197.5A CN110428450B (zh) | 2019-08-01 | 2019-08-01 | 应用于矿井巷道移动巡检图像的尺度自适应目标跟踪方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110428450A CN110428450A (zh) | 2019-11-08 |
CN110428450B true CN110428450B (zh) | 2021-11-16 |
Family
ID=68412052
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910707197.5A Active CN110428450B (zh) | 2019-08-01 | 2019-08-01 | 应用于矿井巷道移动巡检图像的尺度自适应目标跟踪方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110428450B (zh) |
Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111311525A (zh) * | 2019-11-20 | 2020-06-19 | 重庆邮电大学 | 一种基于直方图概率修正的图像梯度场双区间均衡化算法 |
CN111369594A (zh) * | 2020-03-31 | 2020-07-03 | 北京旋极信息技术股份有限公司 | 一种实现目标跟踪的方法、装置、计算机存储介质及终端 |
CN111639212B (zh) * | 2020-05-27 | 2023-09-05 | 中国矿业大学 | 一种矿用智能视频分析中的图像检索方法 |
CN112183560A (zh) * | 2020-10-27 | 2021-01-05 | 维沃移动通信有限公司 | 图像识别方法及装置 |
CN112381092B (zh) * | 2020-11-20 | 2024-06-18 | 深圳力维智联技术有限公司 | 跟踪方法、装置及计算机可读存储介质 |
CN113537253B (zh) * | 2021-08-23 | 2024-01-23 | 北京环境特性研究所 | 一种红外图像目标检测方法、装置、计算设备及存储介质 |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107016689A (zh) * | 2017-02-04 | 2017-08-04 | 中国人民解放军理工大学 | 一种尺度自适应的相关滤波对冲目标跟踪方法 |
CN107644430A (zh) * | 2017-07-27 | 2018-01-30 | 孙战里 | 基于自适应特征融合的目标跟踪 |
CN107886067A (zh) * | 2017-11-07 | 2018-04-06 | 中国矿业大学 | 一种基于hiksvm分类器的多特征融合的行人检测方法 |
CN108510521A (zh) * | 2018-02-27 | 2018-09-07 | 南京邮电大学 | 一种多特征融合的尺度自适应目标跟踪方法 |
CN109285179A (zh) * | 2018-07-26 | 2019-01-29 | 昆明理工大学 | 一种基于多特征融合的运动目标跟踪方法 |
CN109685073A (zh) * | 2018-12-28 | 2019-04-26 | 南京工程学院 | 一种基于核相关滤波的尺度自适应目标跟踪算法 |
CN109903311A (zh) * | 2019-01-24 | 2019-06-18 | 中国矿业大学 | 一种改进tld的矿井下视频目标跟踪方法 |
-
2019
- 2019-08-01 CN CN201910707197.5A patent/CN110428450B/zh active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107016689A (zh) * | 2017-02-04 | 2017-08-04 | 中国人民解放军理工大学 | 一种尺度自适应的相关滤波对冲目标跟踪方法 |
CN107644430A (zh) * | 2017-07-27 | 2018-01-30 | 孙战里 | 基于自适应特征融合的目标跟踪 |
CN107886067A (zh) * | 2017-11-07 | 2018-04-06 | 中国矿业大学 | 一种基于hiksvm分类器的多特征融合的行人检测方法 |
CN108510521A (zh) * | 2018-02-27 | 2018-09-07 | 南京邮电大学 | 一种多特征融合的尺度自适应目标跟踪方法 |
CN109285179A (zh) * | 2018-07-26 | 2019-01-29 | 昆明理工大学 | 一种基于多特征融合的运动目标跟踪方法 |
CN109685073A (zh) * | 2018-12-28 | 2019-04-26 | 南京工程学院 | 一种基于核相关滤波的尺度自适应目标跟踪算法 |
CN109903311A (zh) * | 2019-01-24 | 2019-06-18 | 中国矿业大学 | 一种改进tld的矿井下视频目标跟踪方法 |
Non-Patent Citations (1)
Title |
---|
自适应特征融合的多尺度相关滤波目标跟踪算法;陈智 等;《计算机辅助设计与图形学学报》;20181130;第30卷(第11期) * |
Also Published As
Publication number | Publication date |
---|---|
CN110428450A (zh) | 2019-11-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110428450B (zh) | 应用于矿井巷道移动巡检图像的尺度自适应目标跟踪方法 | |
CN107133575B (zh) | 一种基于时空特征的监控视频行人重识别方法 | |
WO2022099598A1 (zh) | 一种基于图像像素相对统计特征的视频动态目标检测的方法 | |
CN111260738A (zh) | 基于相关滤波和自适应特征融合的多尺度目标跟踪方法 | |
CN111738342B (zh) | 一种受电弓异物检测方法、存储介质及计算机设备 | |
CN111209858B (zh) | 一种基于深度卷积神经网络的实时车牌检测方法 | |
Huynh-The et al. | NIC: A robust background extraction algorithm for foreground detection in dynamic scenes | |
KR101906796B1 (ko) | 딥러닝 기반 영상 분석 장치 및 영상 분석 방법 | |
CN109961416B (zh) | 一种基于形态学梯度多尺度融合的营业执照信息提取方法 | |
Le et al. | Ternary entropy-based binarization of degraded document images using morphological operators | |
CN108765463B (zh) | 一种结合区域提取与改进纹理特征的运动目标检测方法 | |
CN115861359B (zh) | 一种水面漂浮垃圾图像自适应分割提取方法 | |
CN111985314B (zh) | 一种基于ViBe与改进LBP的烟雾检测方法 | |
CN113030244A (zh) | 输电线塔架腐蚀缺陷漏磁检测信号反演成像方法及系统 | |
CN111027564A (zh) | 基于深度学习一体化的低照度成像车牌识别方法及装置 | |
CN109308709B (zh) | 基于图像分割的Vibe运动目标检测算法 | |
CN109241981B (zh) | 一种基于稀疏编码的特征检测方法 | |
CN107358635B (zh) | 一种基于模糊相似性的彩色形态学图像处理方法 | |
CN107301652B (zh) | 一种基于局部稀疏表示和粒子群优化的鲁棒目标跟踪方法 | |
CN115063679B (zh) | 一种基于深度学习的路面质量评估方法 | |
CN109829511B (zh) | 基于纹理分类的下视红外图像中云层区域检测方法 | |
Akther et al. | Detection of Vehicle's Number Plate at Nighttime using Iterative Threshold Segmentation (ITS) Algorithm | |
CN108038872B (zh) | 一种基于动静态目标检测与实时压缩感知追踪研究方法 | |
CN108573217B (zh) | 一种结合局部结构化信息的压缩跟踪方法 | |
CN113160166B (zh) | 通过卷积神经网络模型进行医学影像数据挖掘工作方法 |
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 | ||
CB03 | Change of inventor or designer information | ||
CB03 | Change of inventor or designer information |
Inventor after: Kou Qiqi Inventor after: Cheng Deqiang Inventor after: Tang Shixuan Inventor after: Chen Liangliang Inventor after: Wen Xiaoshun Inventor after: Gao Rui Inventor after: Yao Jie Inventor before: Cheng Deqiang Inventor before: Tang Shixuan Inventor before: Chen Liangliang Inventor before: Wen Xiaoshun Inventor before: Gao Rui Inventor before: Yao Jie Inventor before: Kou Qiqi |
|
GR01 | Patent grant | ||
GR01 | Patent grant |