Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection

CVPR 2020 Sara BeeryGuanhang WuVivek RathodRonny VotelJonathan Huang

In static monitoring cameras, useful contextual information can stretch far beyond the few seconds typical video understanding models might see: subjects may exhibit similar behavior over multiple days, and background objects remain static. Due to power and storage constraints, sampling frequencies are low, often no faster than one frame per second, and sometimes are irregular due to the use of a motion trigger... (read more)

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