arXiv:1610.09520
Multi-Camera Occlusion and Sudden-Appearance-Change Detection Using Hidden Markovian Chains
원문 초록
This paper was originally submitted to Xinova as a response to a Request for Invention (RFI) on new event monitoring methods. In this paper, a new object tracking algorithm using multiple cameras for surveillance applications is proposed. The proposed system can detect sudden-appearance-changes and occlusions using a hidden Markovian statistical model. The experimental results confirm that our system detect the sudden-appearance changes and occlusions reliably.
함께 살펴볼 논문
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Precision Spatio-Temporal Feature Fusion for Robust Remote Sensing Change Detection
HiM2SAM: Enhancing SAM2 with Hierarchical Motion Estimation and Memory Optimization towards Long-term Tracking
Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions
Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking
Visual and Memory Dual Adapter for Multi-Modal Object Tracking
토론
이 논문과 연결된 포럼 글이 아직 없습니다.