DenseTrack : Drone-based crowd tracking via density-aware motion-appearance synergy

• Main Authors: LEI, Yi, ZHU, Huilin, YUAN, Jingling, XIANG, Guangli, ZHONG, Xian, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Multi-object Tracking; Crowd Localization; Vision-language Pre-training; Motion-appearance Fusion; Computer Sciences; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/9766; https://ink.library.smu.edu.sg/context/sis_research/article/10766/viewcontent/2407.17272v2.pdf
• Institution: Singapore Management University

Drone-based crowd tracking faces difficulties in accurately identifying and monitoring objects from an aerial perspective, largely due to their small size and close proximity to each other, which complicates both localization and tracking. To address these challenges, we present the Density-aware Tr...