Classification / Recognition

Generalized Hierarchical Matching for Sub-category Aware Object Classification (VOC2012 classification task winner)

slides: http://host.robots.ox.ac.uk/pascal/VOC/voc2012/workshop/Towards_VOC2012_NUSPSL.pdf

License Plate Recognition

• homepage: http://www.openalpr.com/
• github: https://github.com/openalpr/openalpr
• tech review: http://arstechnica.com/business/2015/12/new-open-source-license-plate-reader-software-lets-you-make-your-own-hot-list/

Detection

Contextualizing Object Detection and Classification

• intro: CVPR 2010
• paper: http://www.lv-nus.org/papers/2011/cvpr2010-context_final.pdf

Diagnosing Error in Object Detectors

• author: Derek Hoiem, Yodsawalai Chodpathumwan, and Qieyun Dai
• project page: http://web.engr.illinois.edu/~dhoiem/projects/detectionAnalysis/
• paper: http://web.engr.illinois.edu/~dhoiem/publications/eccv2012_detanalysis_derek.pdf
• code+data: http://web.engr.illinois.edu/~dhoiem/projects/counter.php?Down=detectionAnalysis/detectionAnalysis_eccv12_v2.zip&Save=detectionAnalysis_eccv12
• slides: http://web.engr.illinois.edu/~dhoiem/presentations/DetectionAnalysis_ECCV2012.pptx

DPM and DPM variants

Object detection with discriminatively trained part based models (DPM)

• paper: https://www.cs.berkeley.edu/~rbg/papers/Object-Detection-with-Discriminatively-Trained-Part-Based-Models–Felzenszwalb-Girshick-McAllester-Ramanan.pdf
• project page: http://www.cs.berkeley.edu/~rbg/latent/
• FAQ: http://people.cs.uchicago.edu/~rbg/latent/voc-release5-faq.html
• github: https://github.com/rbgirshick/voc-dpm

30hz object detection with dpm v5

• paper: http://web.engr.illinois.edu/~msadegh2/papers/DPM30Hz.pdf
• project page: http://vision.cs.illinois.edu/DPM30Hz/
• slides: http://web.engr.illinois.edu/~msadegh2/papers/DPM30Hz.pptx

The fastest deformable part model for object detection

• paper: http://www.cbsr.ia.ac.cn/users/jjyan/Fastest_DPM.pdf
• Result on FDDB: http://vis-www.cs.umass.edu/fddb/results.html

Fast, accurate detection of 100,000 object classes on a single machine

• paper: research.google.com/pubs/archive/41104.pdf
• paper: https://courses.cs.washington.edu/courses/cse590v/13au/40814.pdf

Deformable Part Models are Convolutional Neural Networks

• arxiv: http://arxiv.org/abs/1409.5403
• github: https://github.com/rbgirshick/DeepPyramid

Tensor-based approach to accelerate deformable part models

https://arxiv.org/abs/1707.03268

Integrating Context and Occlusion for Car Detection by Hierarchical And-or Model

• intro: ECCV 2014
• homepage: http://www.stat.ucla.edu/~boli/projects/context_occlusion/context_occlusion.html
• paper: http://www.stat.ucla.edu/~boli/projects/context_occlusion/publications/CarAOG_ECCV2014.pdf
• code: http://www.stat.ucla.edu/~boli/projects/context_occlusion/publications/RGM_Release1.zip

Learning And-Or Models to Represent Context and Occlusion for Car Detection and Viewpoint Estimation

• homepage: http://www.stat.ucla.edu/~boli/projects/context_occlusion/context_occlusion.html
• arxiv: http://arxiv.org/abs/1501.07359
• code: http://www.stat.ucla.edu/~boli/projects/context_occlusion/publications/RGM_Release1.zip

Quickest Moving Object Detection

• arxiv: http://arxiv.org/abs/1605.07586

Automatic detection of moving objects in video surveillance

• arxiv: http://arxiv.org/abs/1608.03617

Real-time Webcam Barcode Detection with OpenCV and C++

• blog: http://www.codepool.biz/webcam-barcode-detection-opencv-cplusplus.html
• github: https://github.com/dynamsoftlabs/cplusplus-webcam-barcode-reader

The Role of Context Selection in Object Detection

• arxiv: http://arxiv.org/abs/1609.02948

Detection in Video

Expanding Object Detector’s HORIZON: Incremental Learning Framework for Object Detection in Videos

• intro: CVPR 2015
• project page: https://www.disneyresearch.com/publication/expanding-object-detectors-horizon/
• paper: http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Kuznetsova_Expanding_Object_Detectors_2015_CVPR_paper.pdf

Face Detection

Build a Face Detection App Using Node.js and OpenCV

http://www.sitepoint.com/face-detection-nodejs-opencv/

FaceTracker: Real time deformable face tracking in C++ with OpenCV 2

• github: https://github.com/kylemcdonald/FaceTracker

A Fast and Accurate Unconstrained Face Detector

• homepage: http://www.cbsr.ia.ac.cn/users/scliao/projects/npdface/index.html
• github: https://github.com/CitrusRokid/OpenNPD

libfacedetection: A binary library for face detection in images. You can use it free of charge with any purpose

• github: https://github.com/ShiqiYu/libfacedetection

jQuery Face Detection Plugin: A jQuery plugin to detect faces on images, videos and canvases

• website: http://facedetection.jaysalvat.com/
• github: https://github.com/jaysalvat/jquery.facedetection

Spoofing 2D Face Detection: Machines See People Who Aren’t There

• arxiv: http://arxiv.org/abs/1608.02128

Fall-Detection: Human Fall Detection from CCTV camera feed

• github: https://github.com/harishrithish7/Fall-Detection

Edge detection

Image-feature-detection-using-Phase-Stretch-Transform

• github: https://github.com/JalaliLabUCLA/Image-feature-detection-using-Phase-Stretch-Transform
• wikipedia: https://en.wikipedia.org/wiki/Phase_stretch_transform

Object Proposals

What makes for effective detection proposals?(PAMI 2015)

• homepage: https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/object-recognition-and-scene-understanding/how-good-are-detection-proposals-really/
• arxiv: http://arxiv.org/abs/1502.05082
• github: https://github.com/hosang/detection-proposals

BING++: A Fast High Quality Object Proposal Generator at 100fps

• arxiv: http://arxiv.org/abs/1511.04511

Object Proposals

• intro: This is a library/API which can be used to generate bounding box/region proposals using a large number of the existing object proposal approaches.
• github: https://github.com/batra-mlp-lab/object-proposals

Segmentation Free Object Discovery in Video

• arxiv: http://arxiv.org/abs/1609.00221

Segmentation

Graph Based Image Segmentation

• project page: http://cs.brown.edu/~pff/segment/

Pixelwise Image Saliency by Aggregation Complementary Appearance Contrast Measures with Edge-Preserving Coherence

• project page: http://vision.sysu.edu.cn/project/PISA/
• paper: http://vision.sysu.edu.cn/project/PISA/PISA_Final.pdf
• github: https://github.com/kezewang/pixelwiseImageSaliencyAggregation

Joint Tracking and Segmentation of Multiple Targets

• paper: http://www.milanton.de/files/cvpr2015/cvpr2015-anton.pdf
• bitbuckt(Matlab): https://bitbucket.org/amilan/segtracking

Supervised Evaluation of Image Segmentation Methods

• project page: http://www.vision.ee.ethz.ch/~biwiproposals/seism/index.html
• github: https://github.com/jponttuset/seism

Normalized Cut (N-cut)

Graph Cut

Grab Cut

“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts

• paper: http://cvg.ethz.ch/teaching/cvl/2012/grabcut-siggraph04.pdf

OpenCV 3.1: Interactive Foreground Extraction using GrabCut Algorithm

http://docs.opencv.org/master/d8/d83/tutorial_py_grabcut.html#gsc.tab=0

Video Segmentation

Bilateral Space Video Segmentation

• intro: CVPR 2016
• project page: https://graphics.ethz.ch/~perazzif/bvs/index.html
• github: https://github.com/owang/BilateralVideoSegmentation

Tracking

Online Object Tracking: A Benchmark

• intro: CVPR 2013
• paper: http://faculty.ucmerced.edu/mhyang/papers/cvpr13_benchmark.pdf

Object Tracking Benchmark

• intro: PAMI 2015
• paper: http://faculty.ucmerced.edu/mhyang/papers/pami15_tracking_benchmark.pdf

Visual Tracker Benchmark

http://cvlab.hanyang.ac.kr/tracker_benchmark/benchmark_v10.html

MEEM: Robust Tracking via Multiple Experts using Entropy Minimization

• intro: ECCV 2014
• project page(code+data): http://cs-people.bu.edu/jmzhang/MEEM/MEEM.html
• paper: http://cs-people.bu.edu/jmzhang/MEEM/MEEM-eccv-preprint.pdf
• code: http://cs-people.bu.edu/jmzhang/MEEM/MEEM_v1_release.zip
• code: http://cs-people.bu.edu/jmzhang/MEEM/MEEM_v1.1_release.zip

Struck: Structured Output Tracking with Kernels

• intro: ICCV 2011
• paper: http://mftp.mmcheng.net/Papers/StruckPAMI.pdf
• paper: http://www.robots.ox.ac.uk/~tvg/publications/2015/struck-author.pdf
• paper: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7360205
• slides: http://vision.stanford.edu/teaching/cs231b_spring1415/slides/struck_meng.pdf
• github: https://github.com/samhare/struck
• github: https://github.com/gnebehay/STRUCK

High-Speed Tracking with Kernelized Correlation Filters

• intro: TPAMI 2015
• project page: http://www.robots.ox.ac.uk/~joao/circulant/index.html
• paper: http://www.robots.ox.ac.uk/~joao/publications/henriques_tpami2015.pdf
• github: https://github.com/foolwood/KCF
• github: https://github.com/vojirt/kcf

Learning to Track: Online Multi-Object Tracking by Decision Making

• intro: ICCV 2015
• homepage: http://cvgl.stanford.edu/projects/MDP_tracking/
• paper: http://cvgl.stanford.edu/papers/xiang_iccv15.pdf
• slides: https://yuxng.github.io/Xiang_ICCV15_12162015.pdf
• github: https://github.com/yuxng/MDP_Tracking

Joint Tracking and Segmentation of Multiple Targets

• paper: http://www.milanton.de/files/cvpr2015/cvpr2015-anton.pdf
• bitbuckt(Matlab): https://bitbucket.org/amilan/segtracking

Robust Visual Tracking Via Consistent Low-Rank Sparse Learning

• project page: http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/Project_Tianzhu/zhang_IJCV14/Robust%20Visual%20Tracking%20Via%20Consistent%20Low-Rank%20Sparse.html
• paper: http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/tianzhu%20zhang_files/Conference%20Papers/ECCV12_zhang_Low-Rank%20Sparse%20Learning.pdf

Staple: Complementary Learners for Real-Time Tracking

• intro: CVPR 2016
• arxiv: http://arxiv.org/abs/1512.01355
• homepage: http://www.robots.ox.ac.uk/~luca/staple.html
• github: https://github.com/bertinetto/staple

Simple Online and Realtime Tracking

• intro: ICIP 2016. SORT = Simple Online and Realtime Tracking
• intro: Simple, online, and realtime tracking of multiple objects in a video sequence
• keywords: Kalman Filter, Hungarian algorithm, 260 Hz
• arxiv: http://arxiv.org/abs/1602.00763
• github: https://github.com/abewley/sort
• demo: https://motchallenge.net/movies/ETH-Linthescher-SORT.mp4

Visual Tracking via Reliable Memories

• arxiv: http://arxiv.org/abs/1602.01887

Tracking Completion

• arxiv: http://arxiv.org/abs/1608.08171

Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning

• arxiv: http://arxiv.org/abs/1608.08173

Projects

Benchmark Results of Correlation Filters

• intro: Collect and share results for correlation filter trackers.
• github: https://github.com/HakaseH/CF_benchmark_results

JS-face-tracking-demo

• demo: https://kdzwinel.github.io/JS-face-tracking-demo/
• github: https://github.com/kdzwinel/JS-face-tracking-demo

VOTR: Visual Object Tracking Repository

• intro: This repository aims at collecting state-of-the-art tracking algorithms that are freely available.
• github: https://github.com/gnebehay/VOTR