Gaze- and Spacing-flow Unveil Intentions: Hidden Follower Discovery
Danni Xu, Ruimin Hu, Zheng Wang, Linbo Luo, Dengshi Li, Wenjun Zeng
Abstract
We raise a new and challenging multimedia application in video surveillance system, i.e., Hidden Follower Discovery (HFD). In contrast to the common abnormal behaviors that are occurring, hidden following is not an ongoing activity, but a preparatory action. Hidden following behavior does not have salient features, making it hard to be discovered. Fortunately, from a socio-cognitive perspective, we found and verified the phenomena that the gaze-flow pattern and the spacing-flow pattern between hidden and normal followers are different. To promote HFD research, we construct two pioneering datasets and devise an HFD baseline network based on the recognition of both gaze-flow and spacing-flow patterns from surveillance videos. Extensive experiments demonstrate their effectiveness.
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Install the CLIlune papers get 5e7ea2e6-62aa-4157-89c3-6e523a5924f8Cited by top-tier papers3
- Uncovering the Unseen: Discover Hidden Intentions by Micro-Behavior Graph ReasoningZhuo Zhou, Wenxuan Liu, Danni Xu, Zheng Wang et al.ACM MM 2023 · 9 citations
- SPAN: Continuous Modeling of Suspicion Progression for Temporal Intention LocalizationXinyi Hu, Yuran Wang, Ruixu Zhang, Yue Li et al.ACM MM 2025 · 2 citations
- Hidden Follower Detection: How Is the Gaze-Spacing Pattern Embodied in Frequency Domain?Shu Li, Ruimin Hu, Suhui Li, Liang LiaoAAAI 2024 · 1 citation
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