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Event-based vision sensing reviewed for pedestrian detection

By PulseAugur Editorial · [1 sources] ·

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]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Event-based vision sensing reviewed for pedestrian detection

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

  1. arXiv cs.CV TIER_1 English(EN) · Han Wang, Juntao Wu, Jingyuan Bao, Min Liu, Yaoxiong Wang, Saiao Zhou, Yuman Nie, Yun Li ·

    Event-based vision sensing and its application to pedestrian detection for intelligent transportation and surveillance

    arXiv:2407.04277v2 Announce Type: replace Abstract: Pedestrian detection in conventional frame-based imaging often suffers from limited temporal responsiveness and substantial data redundancy. Inspired by the biological retina, event-based vision sensing (EVS) offers ultra-low la…

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