Abstract: WiFi fingerprint-based localization is one of the most attractive and promising techniques targeted for indoor localization, and has attained much attention in the past decades. In addition ...
Abstract: Quantitative, type, and anomaly information in crowd videos is critical for smart city and campus applications. Existing approaches generally focus on high-performance counting or anomaly ...
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