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What is Long-Term Motion-Based Object Segmentation about?
This document summarizes a research paper titled "Object Segmentation by Long Term Analysis of Point Trajectories". The paper presents a method for unsupervised object segmentation in videos using long-term dense point trajectories derived from optical flow. It clusters trajectories based on the maximum difference in their motions over time. This provides temporally consistent object segmentation and handles cases where objects appear/disappear. The paper introduces a new benchmark dataset and evaluation me
- Author
- Fauzi Pratama
- Language
- EN