Animal Video Processing Methods Analysis
Explore classical methods for processing video sequences of various animals, analyzing their pros and cons, and proposing new techniques. Dive into projects like Multiple Animal Species Detection and Large Displacement Optical Flow to enhance understanding and implementation.
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Presentation Transcript
Professor: Thomas Huang Graduate mentor: Zhangyang Wang Undergraduate: Hanzhao Deng
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.
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.
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.
