CN105787959A - 基于改进型自适应粒子滤波的多智能体网络目标跟踪方法 - Google Patents
基于改进型自适应粒子滤波的多智能体网络目标跟踪方法 Download PDFInfo
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- CN105787959A CN105787959A CN201510786472.9A CN201510786472A CN105787959A CN 105787959 A CN105787959 A CN 105787959A CN 201510786472 A CN201510786472 A CN 201510786472A CN 105787959 A CN105787959 A CN 105787959A
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- 238000000034 method Methods 0.000 title claims abstract description 30
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- 238000012952 Resampling Methods 0.000 claims abstract description 14
- 238000005070 sampling Methods 0.000 claims description 32
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
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- 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
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- 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
- G06T2207/20076—Probabilistic image processing
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106408590A (zh) * | 2016-10-21 | 2017-02-15 | 西安电子科技大学 | 基于回归分析的粒子滤波目标跟踪方法 |
CN107328406A (zh) * | 2017-06-28 | 2017-11-07 | 中国矿业大学(北京) | 一种基于多源传感器的矿井移动目标定位方法与系统 |
CN108430105A (zh) * | 2017-12-28 | 2018-08-21 | 衢州学院 | 分布式传感器网络协同目标估计及干扰源无源定位方法 |
CN108898612A (zh) * | 2018-06-11 | 2018-11-27 | 淮阴工学院 | 基于多智能体深度增强学习的多目标跟踪方法 |
CN109710978A (zh) * | 2018-11-30 | 2019-05-03 | 电子科技大学 | 一种分布式异构自适应粒子滤波直接跟踪方法 |
CN110517286A (zh) * | 2019-08-12 | 2019-11-29 | 杭州电子科技大学 | 基于多智能体控制的单目标动态跟踪与围捕方法 |
CN110991740A (zh) * | 2019-12-03 | 2020-04-10 | 海南电网有限责任公司 | 基于运行模拟和智能体技术的电网规划方法和系统 |
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US20080195463A1 (en) * | 2006-10-25 | 2008-08-14 | General Electric Company | System for cost-sensitive autonomous information retrieval and extraction |
CN101527045A (zh) * | 2009-04-02 | 2009-09-09 | 浙江工商大学 | 基于多智能体mafs的视频多目标检测、跟踪方法 |
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2015
- 2015-11-16 CN CN201510786472.9A patent/CN105787959B/zh active Active
Patent Citations (2)
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US20080195463A1 (en) * | 2006-10-25 | 2008-08-14 | General Electric Company | System for cost-sensitive autonomous information retrieval and extraction |
CN101527045A (zh) * | 2009-04-02 | 2009-09-09 | 浙江工商大学 | 基于多智能体mafs的视频多目标检测、跟踪方法 |
Non-Patent Citations (2)
Title |
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PRASHANT DOSHI ET AL: "Approximating State Estimation in Multiagent Settings Using Particle Filters", 《PROCEEDINGS OF THE FOURTH INTERNATIONAL JOINT CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS》 * |
李永平 等: "基于多智能体协同进化的粒子滤波目标跟踪算法", 《模式识别与人工智能》 * |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106408590A (zh) * | 2016-10-21 | 2017-02-15 | 西安电子科技大学 | 基于回归分析的粒子滤波目标跟踪方法 |
CN106408590B (zh) * | 2016-10-21 | 2019-03-08 | 西安电子科技大学 | 基于回归分析的粒子滤波目标跟踪方法 |
CN107328406A (zh) * | 2017-06-28 | 2017-11-07 | 中国矿业大学(北京) | 一种基于多源传感器的矿井移动目标定位方法与系统 |
CN107328406B (zh) * | 2017-06-28 | 2020-10-16 | 中国矿业大学(北京) | 一种基于多源传感器的矿井移动目标定位方法与系统 |
CN108430105A (zh) * | 2017-12-28 | 2018-08-21 | 衢州学院 | 分布式传感器网络协同目标估计及干扰源无源定位方法 |
CN108898612A (zh) * | 2018-06-11 | 2018-11-27 | 淮阴工学院 | 基于多智能体深度增强学习的多目标跟踪方法 |
CN108898612B (zh) * | 2018-06-11 | 2021-09-07 | 淮阴工学院 | 基于多智能体深度增强学习的多目标跟踪方法 |
CN109710978A (zh) * | 2018-11-30 | 2019-05-03 | 电子科技大学 | 一种分布式异构自适应粒子滤波直接跟踪方法 |
CN110517286A (zh) * | 2019-08-12 | 2019-11-29 | 杭州电子科技大学 | 基于多智能体控制的单目标动态跟踪与围捕方法 |
CN110517286B (zh) * | 2019-08-12 | 2022-01-14 | 杭州电子科技大学 | 基于多智能体控制的单目标动态跟踪与围捕方法 |
CN110991740A (zh) * | 2019-12-03 | 2020-04-10 | 海南电网有限责任公司 | 基于运行模拟和智能体技术的电网规划方法和系统 |
CN110991740B (zh) * | 2019-12-03 | 2023-12-15 | 海南电网有限责任公司 | 基于运行模拟和智能体技术的电网规划方法和系统 |
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