Day #236 - Papers on Person Re-Identification

Paper #1 - Camera Style Adaptation for Person Re-identification

Key Lessons

• Person Reidentification - Given Query Person, Retrieve person from multiple sources
• Challenges - Resolution, Environment, Illumination
• Camera Style Adaptation Approach - unsupervised, camera-invariant property

Techniques

• Input image pairs are partitioned into three overlapping horizontal parts respectively, and through a siamese CNN model to learn the similarity of them using cosine distance

Paper #2 - SIMPLE ONLINE AND REALTIME TRACKING WITH A DEEP ASSOCIATION METRIC
Techniques

• Kalman filtering in image space and frame by frame
• Kalman filter with constant velocity motion

Paper #3 - In Defense of the Triplet Loss for Person Re-Identification
Techniques

• A plain CNN with a triplet loss 

Triplet Loss
Key Lessons

• Look at Anchor, Distance with Positive Example, Distance with Negative Example
• 3 Images at a time Anchor, Positive, Negative Image
• APNN
• d(A,P) = 0.5 Set Margin to achieve it for positive / negative
• L(A,P,N) = Max(||f(A)-f(P)||^2 - ||f(A)-f(N)||^2 + Alpha)
• Chosing Triplets Randomly
• Map Training Set into Triple

Example - Link1, Link2



Happy Mastering DL!!!