WebNov 6, 2024 · The proposed calibration-free multi-view crowd counting (CF-MVCC) combines single-view predictions with learned weight maps to obtain the scene-level … Deep learning based multi-view crowd counting (MVCC) has been proposed …
CLTR - Dingkang Liang
WebNov 7, 2024 · Calibration-Free Multi-view Crowd Counting. Chapter. Nov 2024; Qi Zhang; Antoni B. Chan; Deep learning based multi-view crowd counting (MVCC) has been proposed to handle scenes with large size, in ... WebApr 13, 2024 · Abstract Crowd counting is an important research topic in computer vision. Its goal is to estimate the people's number in an image. ... Early View. ORIGINAL RESEARCH. Open Access. ... The DSA module can adaptively adjust parameters according to the input features and effectively fuse multi-scale information to overcome the cross … eg100bdc189su1
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WebApr 10, 2024 · BEVFormer: Learning Bird's-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers. 1-18. view. electronic edition via DOI; ... Calibration-Free Multi-view Crowd Counting. 227-244. view. electronic edition via DOI; unpaywalled version; references & citations; authority control: export record. BibTeX; RIS; WebMar 15, 2024 · Recent advancements in indoor positioning systems are based on infrastructure-free solutions, aimed at improving the location accuracy in complex indoor environments without the use of specialized resources. A popular infrastructure-free solution for indoor positioning is a calibration-based positioning, commonly known as fingerprinting. http://visal.cs.cityu.edu.hk/publications/ tdmav