SFU-HW-Tracks-v1: Object Tracking Dataset on Raw Video Sequences

12/30/2021
by   Takehiro Tanaka, et al.
0

We present a dataset that contains object annotations with unique object identities (IDs) for the High Efficiency Video Coding (HEVC) v1 Common Test Conditions (CTC) sequences. Ground-truth annotations for 13 sequences were prepared and released as the dataset called SFU-HW-Tracks-v1. For each video frame, ground truth annotations include object class ID, object ID, and bounding box location and its dimensions. The dataset can be used to evaluate object tracking performance on uncompressed video sequences and study the relationship between video compression and object tracking.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset