Can I read Yang Box-Grained Reranking Matching For Multi-Camera Multi-Target Tracking CVPRW 2022 Paper on EtoBox?
Yang Box-Grained Reranking Matching For Multi-Camera Multi-Target Tracking CVPRW 2022 Paper by Rodrigo Nascimento is a document available to read on EtoBox.
What is Yang Box-Grained Reranking Matching For Multi-Camera Multi-Target Tracking CVPRW 2022 Paper about?
The document presents a framework for Multi-Camera Multi-Target Tracking (MCMT) that addresses challenges such as occlusion and appearance variance in vehicle tracking across multiple cameras. The framework consists of four modules: vehicle detection, ReID feature extraction, Single-Camera Multi-Target tracking (SCMT), and Inter-Camera Association (ICA), which collectively improve tracking accuracy and efficiency. Experimental results demonstrate the effectiveness of the proposed system, achieving a top ran
- Author
- Rodrigo Nascimento
- Language
- EN