Kaynakça

Taslak olarak bazı derlemeler hala devam ediyor: https://github.com/seyyah/me/blob/master/akademik.md

Emotion

• Chiranjeevi, P.; Gopalakrishnan, V.; Moogi, P., “Neutral Face Classification Using Personalized Appearance Models for Fast and Robust Emotion Detection,” in Image Processing, IEEE Transactions on , vol.24, no.9, pp.2701-2711, Sept. 2015, doi: 10.1109/TIP.2015.2421437

• Signal, Image and Video Processing, September 2015, Volume 9, Issue 6, pp 1365-1375, Emotion classification during music listening from forehead biosignals, Mohsen Naji , Mohammd Firoozabadi, Parviz Azadfallah

• Signal, Image and Video Processing, First online: 13 August 2015, Automated facial expression recognition based on histograms of oriented gradient feature vector differences, Uroš Mlakar , Božidar PotočnikSignal

• Image and Video Processing, First online: 13 August 2015, Automated facial expression recognition based on histograms of oriented gradient feature vector differences, Uroš Mlakar , Božidar Potočnik

• Signal, Image and Video Processing, July 2015, Volume 9, Issue 5, pp 1029-1045, Recognition of emotions from video using acoustic and facial features, K. Sreenivasa Rao , Shashidhar G. Koolagudi

Recognition of faces

• Signal, Image and Video Processing, First online: 20 March 2015 Three information set-based feature types for the recognition of faces, Farrukh Sayeed , Madasu Hanmandlu

Projeler

• saylan00-havadan: Uzaktan Algılanan Verilerden Hedef/Nesne Tanıma, 2000, Tubitak

• turgut95-hastalik: Diz Osteoartriti Bulunan Hastaların Ayak Bileği Diz ve Kalça Eklemlerinde Oluşan Momentlerdeki Değişikliklerin İncelenmesi, 1995, Tubitak

• bozkurt08-mera: [RS (Uzaktan Algılama) ve GIS (Coğrafi Bilgi Sistemi) Kullanarak, Meralarda Kalite Belirleme, Biomass ve Otlatma Kapasite Tahminleri ile Hayvan İzleme Olanaklarının Araştırılması][bozkurt08-mera], 2008, Tubitak

• ormeci07-sinir-analizi: [Tuz Gölü ve Yakın Çevresinin Yer ve Uydu Verileri ile Kuraklık ve Su Kalitesi Bakımından Zamansal Analizi][ormeci07-sinir-analizi], 2007, Tubitak

• unsalan09-derinlik: [Renk Kodlu Yapısal Işık Kullanan Bir Derinlik Tarayıcı Tasarımı][unsalan09-derinlik], 2009-, Tubitak (devam ediyor)

• turker10-iskelet-cinsiyet: [İnsan İskelet Kası Reflekslerinin Cinsiyete, Yaşa ve Kas Yorgunluğuna Bağlı Değişimin İncelenmesi][turker10-iskelet-cinsiyet], 2010, Tubitak (gizli)

Gölgeden Tanıma

• iwashita10: Person Identification using Shadow Analysis, BMVC 2010, Yumi Iwashita, Adrian Stoica, Ryo Karazume

• stoica09-patent: Method for Using Information in Human Shadows and Their Dynamics erişilemezsen stoica09-patent-html

• stoica08-bliss: Towards Recognition of Humans and their Behaviors from Space and Airborne Platforms: Extracting the Information in the Dynamics of Human Shadows

• stoica09-bliss: Gait Recognition using Shadow Analysis

Gölge Algılama, Uzaklaştırma ve Takip

• zhang2015: Zhang, L.; Zhang, Q.; Xiao, C., “Shadow Remover: Image Shadow Removal Based on Illumination Recovering Optimization,” in Image Processing, IEEE Transactions on , vol.24, no.11, pp.4623-4636, Nov. 2015 doi: 10.1109/TIP.2015.2465159

• Ziraat Bankası reklam filmi: http://www.youtube.com/watch?v=bmCa4R9zsPk

• jiang92: Shadow Identification, IEEE, 1992

• mikic00: Moving Shadow and Object Detection in Traffic Scenes

• nadimi04: Physical Models for Moving Shadow and Object Detection in Video, 2004, Nadimi S. , Bhanu B.

• prati01-survey: Detecting Moving Shadows: Formulation, Algorithms and Evaluation, Andrea Prati, Ivana Mikic, Mohan M. Trivedi, Rita Cucchiara, 2001

• salvador01: Shadow Identificatıon and classıfication using invariant color models, 2001, Salvador E. , Cavallaro A. , Ebrahimi T.

• sanin10-surveillance: [Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios][sanin10], 2010, Sanin A. , Sanderson C. , Lovell B.C.

• xu05: [Shadow removal with blob-based morphological reconstruction fo r error correction][xu05], 2005, L.Q. Xu and J. L. Landabaso and M. Pardas, Proceedings of the IEEE International Conference on Acoust ics, Speech, and Signal Processing (ICASSP)

Aerial Video Analiz

• oreifej10: Human Identity Recognition in Aerial Images, 2010, Oreifej O, Mehran R., Shah M.

• vladimir10: Geometric Constraints for Human Detection in Aerial Imagery, 2010, Reilly V. , Solmaz B. , Shah M.

Eylem Analizi

• weinland11, A survey of vision-based methods for action representation, segmentation and recognition

• popoola11, Video-Based Abnormal Human BehaviorRecognition—A Review

• bodor03: Vision-Based Human Tracking and Activity Recognition, Robert Bodor, Bennett Jackson, Nikolaos Papanikolopoulos, 2003

• candamo10-survey: Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms, Joshua Candamo, Matthew Shreve, Dmitry B. Goldgof, Deborah B. Sapper, and Rangachar Kasturi, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 11, NO. 1, MARCH 2010

• ilktan09: rapor: İnsan Eylem Analizi-Rapor, 2009; sunum: İnsan Eylem Analizi-Sunum, 2010

• mukherjee10-sdha10: [Modeling Sense Disambiguation of Human Pose: Recognizing Action at a Distance by Key Poses][mukherjee10-sdha10], Snehasis Mukherjee, Sujoy Kumar Biswas, Dipti Prasad Mukherjee, ACCV2010

• poppe10-survey: A survey on vision-based human action recognition, ScienceDirect, 2010, Ronald Poppe

• ryoo10-sdha10-overview: n Overview of Contest on Semantic Description of Human Activities (SDHA) 2010, 2010

• ryoo10-sdha10-slides: An Overview of Contest on Semantic Description of Human Activities (SDHA) 2010, 2010

• ryoo11-review: Human Activity Analysis: A Review, ACM, 2011

• turaga08: machine recognition of human activities a survey

Medicine + Gait Analysis

• raheja2015: Jagdish L. Raheja, Ankit Chaudhary , K. Nandhini, S. Maiti, Pre-consultation help necessity detection based on gait recognition, Signal, Image and Video Processing, September 2015, Volume 9, Issue 6, pp 1357-1363

fall-detection

• kaluza08-fall-detection: Fall Detection and Activity Recognition Methods for the Confidence Project: a Survey, 2008

• anderson08-fall-detection: Evaluation of a Video-Based Fall Recognition System for Elders Using Voxel Space

• noury07-fall-detection: Fall detection – Principles and Methods, IEEE, 2007

Şüpheli Durum

• lee08: doktora tez önerisi Biomechanical Adaptations of Human Gait Due to External Loads, Blacksburg, Virginia, 2008

• lee09: Gait analysis to classify external load conditions using linear discriminant analysis, Hum Mov Sci. 2009

• samudin09: Analysis of Gait Features between Loaded and Normal Gait

• otsu08-patent: Abnormal Action Detector and Abnormal Action Detecting Method

• wittman05-loaded: Visual Analysis of the Effects of Load Carriage on Gait, 2005

Abnormality

• rohila10: Abnormal Gait Recognition

• bauckhage09: Detecting Abnormal Gait

Surveillance

• gatech02: Walk the Walk: Gait Recognition Technology Could Identify Humans at a Distance

• Information Awareness Office

• makarski02: a surveillance society and the conflict state: leveraging ubiquitous surveillance and biometrics technology to Improve homeland security, naval postgraduate school, monterey, california, master tezi, 2002

• wikipedia-surveillance

Gait Analysis

• chen09-weighted: Gender Classification Based on Fusion of Weighted Multi-view Gait Component Distance, Lei Chen1, Yunhong Wang1, Yiding Wang2, IEEE, 2009

• dimitros09-rapor: Activity Recognition: Gait Analysis and Recognition, Centre of Research & Technology - Hellas, Dimitrios Tzovaras, 2009

• felez10a-ocs: Towards a More Realistic Appearance-Based Gait Representation for Gender Recognition, IEEE, 2010

• felez10b-ocs: A GENDER RECOGNITION EXPERIMENT ON THE CASIA GAIT DATABASE DEALING WITH ITS IMBALANCED NATURE, IEEE, 2010

• guha10-radon: DIFFERENTIAL RADON TRANSFORM FOR GAIT RECOGNITION, IEEE, 2010, Tanaya Guha, Rabab Ward

• hu10-ocs: [Combining Spatial and Temporal Information for Gait Based Gender Classification][hu10-ocs], IEEE, 2010, Maodi Hu1 , Yunhong Wang1 , Zhaoxiang Zhang1 and Yiding Wang2

• huang98: [A statistical approach for recognizing humans by gait using sp atial-temporal templates][huang98], P.S. Huang and C.J. Harris and M.S. Nixon, Image Processing, International Conference on, 1998

• kale04: Identification of Humans Using Gait, 2004, Kale A. , Sundaresan A. , A. N. Rajagopalan, Cuntoor N. ,Roy-Chowdhury A. ,Krüger V. , Chellappa R.

• lee02-mit: Gait Analysis for Recognition and Classification, L. Lee, W. E. L. Grimson, 2002, MIT

• li10: Part-based human gait identification under clothing and carrying condition variations, IEEE, 2010, Ning Li; Yi Xu; Xiao-Kang Yang

• ni09: A New Method Based on KFDA and SVM for Gait Identification, IEEE, 2009, Jian Ni; Libo Liang

• YAHTS:

• veres04: What image information is important in silhouette-based gait recognition?, 2004, G.V. Veres, L. Gordon, J.N. Carter and M.S. Nixon

• wang10-review: A Review of Vision-based Gait Recognition Methods for Human Identification, 2010, Wang J. , She M. , Nahavandi S. , Kouzani A.

• yi07: General methods and development actuality of gait recognıtion, 2007, Yı-Bo lı, Tıan-Xıao Jıang, Zhı-Hua Qıao, Hong-Juan Qıan

• zhao10: Research on gait-based human identification, IEEE, 2010, XiLing Zhao; YongQiang Du

Forensic

• larsen08: Gait Analysis in Forensic Medicine

• nixon10: On the use of Biometrics in Forensics: Gait and Ear

Güneş

• shafer84: Using color to separate Reflection Components, Steven A. Shafer, 1984

Kaşif Balonu

• Aselsan’ın KAŞİF gözlem balonu.

  • Benzer çalışma olarak Micro Air Vehicle

  • gyro-stabilized

Motion Capture; TOF kamera

• foix11-review: Lock-in Time-of-Flight (ToF) Cameras: A Survey, IEEE SENSORS JOURNAL, 2011, Sergi Foix, Guillem Alenya and Carme Torras

• moeslund06-survey: A survey of advances in vision-based human motion capture and analysis, Journal Computer Vision and Image Understanding, ACM, 2006, Thomas B. Moeslund, Adrian Hilton, Volker Krüger

• pardas08-tof: TOF Imaging in Smart Room Environments towards Improved People Tracking, IEEE, 2008

Homography

• irschara10-reconstruction-from-uavs: [TOWARDS FULLY AUTOMATIC PHOTOGRAMMETRIC RECONSTRUCTION USING DIGITAL IMAGES TAKEN FROM UAVS][irschara10-reconstruction-from-uavs], A. Irschara, V. Kaufman, M. Klopschitz, H. Bischof, F. Leberl, IAPRS, 2010

Color

• Signal, Image and Video Processing, May 2015, Volume 9, Issue 4, pp 947-957, Comparison of colour transforms used in lip segmentation algorithms Ashley D. Gritzman , David M. Rubin, Adam Pantanowitz
• Color Names: https://www.researchgate.net/post/How_can_I_change_RGB_to_11_basic_color_namesLearning_Color_Names_for_Real-World_Applications

• Sınıflandırılmamış

• hsu09-patent: Method For Recognizing Dice Dots

• lo01: [Automatic congestion det ection system for underground platforms][lo01], 2001,Lo, B.P.L. and Velastin, S.A., Intelligent Multimedia, Video and Speech Processing, 2001. P roceedings of 2001 International Symposium on

• verwer88: [Improved metrics in image processing applied to the Hilditch skeleton][verwer88], B.J.H. Verwer, 9th ICPR, Rome, November 14-17, 1988.

• dipimage: [Diplig.org][dipimage], 2009, http://www.diplib.org/

• Jabri S. vd, “Detection and Location of People in Video Images Using Adaptive Fusion of Color and Edge Information”, 2000, Proc. 15th International Conf Pattern Recognition, vol. 4, 627-630, Gerçekleme: frm2confC

Diğer Girdiler

• 2016-06-03  »   Bilgisayarla Görü Dönemsonu Proje Sunum Galası
• 2015-12-27  »   Yayınlar
• 2015-12-25  »   Dersler