1. Multiple Animal Species Detection Using Robust Principal Component Analysis and Large Displacement Optical Flow
Professor: Thomas Huang
Graduate mentor: Zhangyang Wang
Undergraduate: Hanzhao Deng

2. What have we done?
I did the reading, a paper describing the project: Multiple Animal Species Detection Using Robust Principal Component Analysis and Large Displacement Optical Flow.
We set up the meeting time for upcoming weeks.
I got a general understanding of what the problem is and how various processing the algorithm works.

3. Materials
Papers
Multiple Animal Species Detection Using Robust Principal Component Analysis and Large Displacement Optical Flow
Large displacement optical flow: Descriptor matching in variational motion estimation.
Biometric animal databases from field photographs: identification of individual zebra in the wild.

4. Goals
Help the mentor to explore and implement classical methods for processing video sequences of various types of animals.
Discover the pros and cons among them.
Analyze and propose new methods for processing such videos.