ENEE698a: Pattern Recognition from Temporal Data

Prof. Rama Chellappa

Tuesday 4:00pm to 5:30pm
AVW 2120

Attention!

Project partners and schedule are posted on the projects page!

Projects

Notes:
1) Grades are attendance based starting with the class on Sept. 12th
2) The papers listed are guidelines for topics. Speakers are expected to do a literature survey on the topic they are assigned.
3) Talks are expected to last about 35 minutes, thus leaving 10 minutes for discussion afterwards. (two talks per day)
4) Presenters for a particular week are expected to lead the discussion for the week following their presentation. Come prepared with questions/comments/rebuttals to start the discussion.
5) Please email me (user: shermanj) at umd if you have any questions.

Date	Topic	Subtopic	Presenter
Sept. 5	Overview Lecture	Rama Chellappa, Ashok Veeraraghavan and Gaurav Aggarwal. Pattern Recognition in Video. International Conference on Pattern Recognition and Machine Intelligence(PReMI), 2005. Volume 3776, Dec 2005, Pages 11-20	Prof. Chellappa
Sept. 12	Dynamical Models and Inference	a. Dynamic Textures :- Doretto, Pundir, Wu, Soatto ICCV 2001 [PDF] b. Dynamic Shape :- Liu and Ahuja , CVPR 2004 [PDF] c. Deforming motions and shape averages :- Yezzi, IJCV 2003 [PDF] d. Hybrid Systems R. Vidal, S. Soatto and S. Sastry. An Algebraic Geometric Approach to the Identification of Linear Hybrid Systems. IEEE Conference on Decision and Control, 2003. [PDF]	Pavan Turaga, Kaushik Mitra
Sept. 19	Dynamical Models and Inference	a. Stochastic Identification :- Overschee, Moor CDC 1991 [PDF] b. Hidden Markov Models :- Tutorial, Rabiner 1989[PDF] and Application (Sunderesan, RoyChoudhury and Chellappa, ICIP 2003) [PDF] c. Particle Filtering :- Doucet, Godsill, Andrieu, On sequential Monte Carlo sampling methods for Bayesian filtering, ACM 2000 Liu and Chen, Sequential Monte-Carlo Methods for Dynamical systems, JSTOR -	Nima Mesgarani, Zhe Lin
Sept. 26	Graphical Models	Dynamic Systems: book chapter by D. Koller and U. Lerner [PS] Application: Scene analysis using belief networks, Huang et. al. [PDF]	Ruonan Li, Xiaodong Yu
Oct. 3	Dimensionality Reduction and its Importance to Video based PR	PCA: Kirby and Sirovich Application of the Karhunen-Loeve procedure for thecharacterization of human faces T-PAMI, 1990. PCA/LDA: PN Belhumeur, JP Hespanha, DJ Kriegman, Eigenfaces vs. Fisherfaces: recognition using class specific linearprojection, TPAMI, 1997 [PDF] LLE: Sam Roweis & Lawrence Saul, Nonlinear dimensionality reduction by locally linear embedding. Science, v.290 no.5500 , Dec.22, 2000. pp.2323--2326. [PDF] Application: Separating Style and Content : Elgammal and Lee, CVPR 2004[PDF]	Vikranjit Mitra, Srikanth Vishnubhotla
Oct. 10	Dimensionality Reduction and its Importance to Video based PR	ISOMAPS: Joshua B. Tenenbaum, Vin de Silva, John C. Langford, A Global Geometric Framework for Nonlinear Dimensionality Reduction, Science 2001, [PDF] Application: Using ISOMAP to explore video sequences : Robert Pless [PDF] Laplacian Eigenmaps: Mikhail Belkin, Partha Niyogi, Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering, NIPS 2001 [PDF] Application: Using Laplacian Eigenmap to perform pose detection Sunderesan and Chellappa, ICPR 2006 [PDF]	Mohamed Abdelkader, Aravind Sundaresan (guest speaker)
Oct. 17	Gait Modeling and Analysis	a. Gait DNA: Ran, Chellappa b. Geometric Group theory: The language of Symmetry, from Mumford's book, "Indra's Pearl" c. Shape Sequences :- Veeraraghavan, Roy-Chowdhury, Chellappa PAMI 2005 [PDF]	Soma Biswas, Avinash Varna
Oct. 24	Gait Modeling and Analysis Speech Modeling and Analysis	c. Classifying Gaits Without Contact Force Bissacco and Soatto, CVPR 2006 - [PDF] Dynamic Bayesian Networks book chapter by K. Murphy [PDF] Application:Speaker Verification Using Adapted Gaussian Mixture Models by Douglas Reynolds et al. 2000.	Steve Tjoa Daniel Garcia-Romero
Oct. 31	Tracking/Recognition/Behaviour Analysis	a) Probabilistic recognition of human faces from video :- S. Zhou, V. Krueger, and R. Chellappa. CVIU 2003. [PDF] b) Learning Multi-Class Dynamics: Blake, North and Isard, NIPS 1999[PDF] c) Parametric Switched Linear Dynamical Systems for Behavior Modeling Oh, Rehg, Balch and Dellaert[PDF] d) Simultaneous Tracking and Analysis of Bee Dances :- Veeraraghavan, Chellappa and Srinivasan (PDF On Request)	Ling Liu, Yao Li
Nov. 7	Activity Analysis	a) View Invariant Representation and recognition of Actions Shah IJCV2002 , Parameswaran, Chellappa CVPR 2004 b) Exploring the space of Action [PDF]	Guangyu Zhu, Nick Horner
Nov. 14	Activity Analysis	c) Shape Activity for Activity Modeling and detection of anamolous activities Vaswani and Chellappa, TIP 2005[PDF] d) Factorization for Activity Recognition [PDF]	Punyaslok Purkayastha, Aniruddha Kembhavi
Nov. 21	TBD	TBD	Yi Li
Nov. 28	TBD	TBD	TBD
Dec. 5 - Dec. 12	Projects!