CVDec 4, 2015

Motion trails from time-lapse video

arXiv:1512.01533v1
Originality Synthesis-oriented
AI Analysis

This is an incremental improvement for video analysis applications, enhancing object tracking and event detection.

The paper tackled the problem of visualizing moving objects in time-lapse video by generating motion trails from background subtraction, which clarifies spatial relationships and reduces the risk of overlooking transient events during high-speed preview.

From an image sequence captured by a stationary camera, background subtraction can detect moving foreground objects in the scene. Distinguishing foreground from background is further improved by various heuristics. Then each object's motion can be emphasized by duplicating its positions as a motion trail. These trails clarify the objects' spatial relationships. Also, adding motion trails to a video before previewing it at high speed reduces the risk of overlooking transient events.

Foundations

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