FANTrack: 3D Multi-Object Tracking with Feature Association Network

7 May 2019Erkan BaserVenkateshwaran BalasubramanianPrarthana BhattacharyyaKrzysztof Czarnecki

We propose a data-driven approach to online multi-object tracking (MOT) that uses a convolutional neural network (CNN) for data association in a tracking-by-detection framework. The problem of multi-target tracking aims to assign noisy detections to a-priori unknown and time-varying number of tracked objects across a sequence of frames... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
3D Multi-Object Tracking KITTI FANTrack MOTA 77.72% # 3
MOTP 82.32% # 4