Code APOGEE | Intitulé | ECTS | CM | TD | TP | 1ère Session | 2ème Session | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
CC | Examen | Dérogatoire | Examen | ||||||||||||||
Ecrit | Oral | TP | Ecrit | Oral | TP | Ecrit | Oral | TP | Ecrit | Oral | TP | ||||||
CSOESBA0 | Smart biometric applications | 4.0 | 20 | 100% | 100% | 100% |
Basics of Linear Algebra, Probability and Statistics Basics of Signal and Image Processing
Human motion modeling from video sequences Introduction to Statistical Pattern Recognition for Static and Dynamic Input Bayesian Theory Hidden Markov Models Conditional Random Fields Feature Extraction Application to Video Surveillance Human Activity Recognition Application to Assistive Robotics
Dealing with smart biometric applications.
Chapter 1: Processing of Video Sequences using Statistical Methods Chapter 2: Video Sequence Processing for Video Surveillance Chapter 3: Video-based Human Activity Recognition for eHealth Chapter 4: Application to Assistive Robotics for e-Health
On campus/Online
Feedback requested.
http://www.amazon.com/Machine-Learning-Probabilistic-Perspective-Computation/dp/0262018020/ref=sr_1_1?s=books&ie=UTF8&qid=1420492058&sr=1-1&keywords=kevin+murphy http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738/ref=sr_1_5?s=books&ie=UTF8&qid=1420492145&sr=1-5&keywords=chris+bishop
Maquette 2019/2020 - Les informations portées sur ces pages sont non-contractuelles et n'engagent en rien la responsabilité de la faculté des sciences et technologies de l'UPEC.
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