dataset for person re-id
来源:互联网 发布:网页空间和数据库空间 编辑:程序博客网 时间:2024/06/05 06:01
GRID: http://personal.ie.cuhk.edu.hk/~ccloy/downloads_qmul_underground_reid.html
person re-id:
http://www.ssig.dcc.ufmg.br/reid-results/
CUHK01: 2个视角,校园环境,971人,一共1552张图像。view A 主要捕获人的正面和背面,view B捕获侧面。每个人有4张图像,每个视角下有2张图像。
CUHK02 取自5个不同的户外camera对,共1816人。5个camera对分别有971,306,107,193,239人,大小160*60. 每个人在每个摄像机下的不同时间内取两张图片。大多数人都有负重(背包,手提包,皮带包,行李)。
CUHK03:取自5个不同的视角对,共1467个行人的14000多张图像。
VIPeR:632人,2个户外摄像头,有多种姿态,视角和光照变化。每个人在每个摄像机下有一张图像,尺度为128*48。提供的角度0度(front),45度,90度(right),135度,180(back)
iLIDS-Vid:取自监控航空接站大厅,从2个不相交摄像机创建该数据集。随机为300个人采样了600个视频,每人有来自两个视觉的一对视频。每个视频有23~192帧,平均73帧。相似的衣服、光照和视觉改变,复杂的背景和严重的遮挡,很具挑战性。
iLIDS:采样了119个人479张图像。size:128*64。每个人平均有4个张图像。有大的照明 改变和遮挡。
PRID 2011:提供了2个不同静止监控摄像机下的多个人的轨迹,监控人行航道和人行道。cam A 下385人,cam B 下749人,有200人同时出现在两个视角。每个视频有5到675帧,平均100帧。该数据集是在不拥挤的户外场景下采集的,有相对简单和干净的背景,较少的遮挡。
3DPeS:收集了8个不相交的户外摄像机,监控校园的不同地方。不同于iLIDS和PRID,它提供了完整的监控视频序列:提供了6个视频对集合,15 frame/s,分辨率704*576。一共193个行人。
Shinpuhkan:包含22000多张图像。只包含24个行人,他们从16个摄像视觉捕获的,提供了丰富的类内变化信息。
GRID: The QMUL underGround Re-IDentification (GRID) dataset contains 250 pedestrian image pairs. Each pair contains two images of the same individual seen from different camera views. All images are captured from 8 disjoint camera views installed in a busy underground station. The figures beside show a snapshot of each of the camera views of the station and sample images in the dataset. The dataset is challenging due to variations of pose, colours, lighting changes; as well as poor image quality caused by low spatial resolution.
CAVIAR4REID datasethttp://www.lorisbazzani.info/caviar4reid.html
The original dataset, CAVIAR, consists of several sequences filmed in the entrance lobby of the INRIA Labs and in a shopping centre in Lisbon. We selected the shopping centre scenario, because it is a less controlled recording and also the cameras are better located (in INRIA Labs scenario, the camera is located overhead. Not a typical scenario for re-identification.). Shopping centre dataset contains 26 sequences recorded from two different points of view at the resolution of 384 X 288 pixels. It includes people walking alone, meeting with others, window shopping, entering and exiting shops. The ground truth has been used to extract the bounding box of each pedestrian. Then we manual select a total of 72 pedestrians: 50 of them with both the camera views and the remaining 22 with one camera view. For each pedestrian, we accurately selected a set of images for each camera view (where available) in order to maximize the variance with respect to resolution changes, light conditions, occlusions, and pose changes so as to make challenging the re-identification task.
- dataset for person re-id
- 【Person Re-ID】SVDNet for Pedestrian Retrieval
- 【Person Re-id】A Discriminatively Learned CNN Embedding for Person Re-identification
- 【Person Re-ID】In Defense of the Triplet Loss for Person Re-Identification
- 【Person Re-ID】Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification
- [论文笔记]K-CRC for Person Re-ID
- Re-ID: Learning Deep Feature Representation with Domain Guided Dropout for Person Re-identifiation
- 【Person Re-ID】Person Re-identification: Past, Present and Future
- [2016,CVPR] Learning Deep Feature Representations with Domain Guided Dropout for Person Re-id
- [Paper note] Joint Learning of Single-image and Cross-image Representations for Person Re-id.
- [CVPR2016]Learning Deep Feature Representations with Domain Guided Dropout for Person Re-id
- 【Person Re-ID】常用评测指标
- Deep Metric Learning for Person Re-Identification
- 基于深度学习的Person Re-ID(综述)
- 基于深度学习的Person Re-ID(特征提取)
- 基于深度学习的Person Re-ID(度量学习)
- 基于深度学习的Person Re-ID(综述)
- 基于深度学习的Person Re-ID(特征提取)
- 【t001】不高兴的津津
- 传感器原始图像格式:Bayer RGB 和RGB RAW
- 国务院办公厅关于2017年 部分节假日安排的通知 (zz)
- 图像 - 灰度化、灰度反转、二值化
- Saltstack之Salt-api安装使用
- dataset for person re-id
- 使用Navicat for MySQL数据库结构同步和数据同步的方法
- Ubuntu1604 X64 libs3 编译
- 解决maven项目报错问题----指定jdk版本号
- 【Android】Error building Player: CommandInvokationFailure: Unable to convert classes into dex format.
- 日期字符串校验的问题
- Android 内存泄漏总结
- 通过ajax记录打印信息
- 如何提升自己的技术