搜索资源列表
tracking
- A multi-hypothesis approach for salient object tracking in visual surveillance
10.1.1.91.4387
- 一种基于显著图像的物体显著性的评定，主要运用了视觉注意机制-We propose a set of novel features including multi-scale contrast,center-surround histogram,and color spatial distribution to describe a salient object locally,regionally,andglobally.
salient_object_detection
- 该文件包括了两个经典的显著物体定位方法，在方法中，一个矩形框用来定位物体。 其中一篇是CVPR07的微软的论文，其数据集被广为使用。-The document includes two significant classic object positioning method, the method, a rectangular box used to locate objects. Which one is the Microsoft CVPR07 paper, the data set is
SalientObjectExtraction
- Research on robust salient Object Extraction in image
iav07-surf
- Detecting, identifying, and recognizing salient regions or feature points in images is a very important and fundamental problem to the computer vision and robotics community. Tasks like landmark detection and visual odometry, but also object re
multihypothesis
- A MULTI-HYPOTHESIS APPROACH FOR SALIENT OBJECT TRACKING IN VISUAL SURVEILLANCE
saliency-object-or-region-detection
- 该文件夹包括代码及其对应的论文。其作用在于模拟人类视觉系统的生理特性--视觉注意机制，按照人眼观察外界的方式，检测视觉显著性物体和区域，并阐述了显著性区域的显著性密度和尺度之间的关系，可应用于生物视觉模拟、视觉目标检测、视觉目标跟踪、视觉智能监控，以及视觉生理学和视觉心理学等的研究中。-This document contains codes and the corresponding paper. The aim is to simulate a physiological character
BMS-mex
- 一个基于布尔图的显著性检测模型这个模型利用了全局拓扑测度，这一拓扑测度已经被证明了有助于感知的图形-背景分割。如格式塔心理学研究表明，如下因素很可能会影响图形-背景分割：大小，surroundedness，convexity, symmtry。本文研究surroundedness cue在显著性检测中的应用。 surroundedness的本质是图形和背景之间的enclosure topological relationship，能够被很好地定义，并且对不同的变化具有不变性（不懂）。 为了衡量s
Learning-to-Detect-A-Salient-Object
- 显著性检测经典论文Learning to Detect A Salient Object的源码-the code of the paper Learning to Detect A Salient Object
Cosaliency_tip2013-master
- 图像协同显著性检测，用于寻找突出目标，以便于进一步分割或者检索等。-cosaliency detection for image to search for salient object in order to segment or retrieve images.
code-BL
- 大连理工大学卢湖川教授团队写的显著性检测的方法-Salient Object Detection via Bootstrap Learning
Salient-Object-Detection_CVPR2014
- 2014年CVPR发表的一篇文章，介绍了一种基于区域特征整合的显著区域检测方法，很值得借鉴。-2014 CVPR published an article about the salient region detection method based on region feature integration, it is worth learning from.
drfi_matlab-master
- 关于视觉显著性检测的文章Salient Object Detection: A Discriminative Regional Feature Integration Approach的源码 -the source code the article of Salient Object Detection: A Discriminative Regional Feature Integration Approach about the saliency detection
Learning-to-Detect-a-Salient-Object
- Learning to Detect a Salient Object 文章的代码实现-Learning to Detect a Salient Object code article
salient-object-detection
- This a matlab implementation of the saliency detection method: Salient Object Detection: A Benchmark-This is a matlab implementation of the saliency detection method: Salient Object Detection: A Benchmark
drfi_matlab-master
- Salient object detection via multi-scale local-global superpixel contrast
svo_singleImage
- ICCV 2011论文对象性检测和显著对象检测的源码(Code for Fusing Generic Objectness and Visual Saliency for Salient Object Detection, ICCV 2011)
MSTSaliency-mex
- 基于最小生成树实现的显著性目标实时检测，是文章Real-Time Salient Object Detection with a Minimum Spanning Tree的源码(The real-time detection of salient target minimum spanning tree based on Real-Time Salient Object Detection is the with a Minimum Spanning Tree source code)
chhshen-saliency-detection-2429d8bf077a
- 显着对象检测的上下文超图模型，显著性检测算法(Contextual Hypergraph Modeling for Salient Object Detection)
中心先验
- 显著性检测 中心先验,可以使用该代码实现图像的中心先验检测(saliency detection-center prior, which can use this code to estimate the location of salient object)