Event-based vision sensing reviewed for pedestrian detection

This paper reviews event-based vision sensing (EVS) and its application to pedestrian detection, particularly for intelligent transportation and surveillance systems. It contrasts EVS with traditional frame-based imaging, highlighting EVS's advantages such as low latency, high temporal resolution, and wide dynamic range. The review covers key methodological components, analyzes representative methods, and discusses open challenges and future research directions in event-based pedestrian detection. AI

IMPACT Provides a structured reference for researchers in event-based vision and pedestrian perception systems.

RANK_REASON The item is a comprehensive review paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

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• arXiv
• biological retina
• Event based vision sensing and processing
• frame-based imaging
• Han Wang
• intelligent transportation system
• pedestrian detection
• Surveillance

• paper
• other

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