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Computer Science > Computer Vision and Pattern Recognition

arXiv:2308.15169 (cs)
[Submitted on 29 Aug 2023]

Title:Uncovering the Unseen: Discover Hidden Intentions by Micro-Behavior Graph Reasoning

Authors:Zhuo Zhou, Wenxuan Liu, Danni Xu, Zheng Wang, Jian Zhao
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Abstract:This paper introduces a new and challenging Hidden Intention Discovery (HID) task. Unlike existing intention recognition tasks, which are based on obvious visual representations to identify common intentions for normal behavior, HID focuses on discovering hidden intentions when humans try to hide their intentions for abnormal behavior. HID presents a unique challenge in that hidden intentions lack the obvious visual representations to distinguish them from normal intentions. Fortunately, from a sociological and psychological perspective, we find that the difference between hidden and normal intentions can be reasoned from multiple micro-behaviors, such as gaze, attention, and facial expressions. Therefore, we first discover the relationship between micro-behavior and hidden intentions and use graph structure to reason about hidden intentions. To facilitate research in the field of HID, we also constructed a seminal dataset containing a hidden intention annotation of a typical theft scenario for HID. Extensive experiments show that the proposed network improves performance on the HID task by 9.9\% over the state-of-the-art method SBP.
Subjects: Computer Vision and Pattern Recognition (cs.CV); Computers and Society (cs.CY)
Cite as: arXiv:2308.15169 [cs.CV]
  (or arXiv:2308.15169v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2308.15169

Submission history

From: Zheng Wang [view email]
[v1] Tue, 29 Aug 2023 09:52:32 UTC (3,735 KB)
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