Object Tracking Basics MCQ
15 Questions
Time: ~25 mins
Intermediate
Object Tracking Basics MCQ
Linking detections across frames: identity, motion models, occlusions, and evaluation (MOTA, IDF1).
Easy: 5 Q
Medium: 6 Q
Hard: 4 Q
Video
Frames
Associate
ID
MOT
Multi
Occlusion
Drop
Object tracking
Tracking maintains identities of objects over time—single-object (SOT) focuses on one target; multi-object (MOT) handles many with births, deaths, and occlusions.
Association
Match current detections to existing tracks using motion prediction, appearance, and optimization (Hungarian, network flow).
Challenges
Motion
Constant velocity, Kalman prediction, or learned motion for gating candidates.
Appearance
Re-ID embeddings help after occlusion—DeepSORT style.
MOTA / IDF1
Classic MOT metrics mix detection accuracy and identity consistency.
Online
Causal processing for robotics; offline can use future frames globally.
Loop
Predict state → associate detections → update tracks
Pro tip: Good detection is prerequisite—tracking rarely fixes a broken detector.