@article{Liu2025, 
author = {Bingbin Liu and Yuxuan Qian and Jianxin Wang},
title = {Rodent Arena Multi-View Monitor (RAMM): A Camera Synchronized Photographic Control System for Multi-View Rodent Monitoring},
year = {2025},
journal = {Tsinghua Science and Technology},
volume = {30},
number = {5},
pages = {2195-2214},
keywords = {cost-effectiveness, multi-view camera synchronization, rodent skinned model, scalability.},
url = {https://www.sciopen.com/article/10.26599/TST.2024.9010117},
doi = {10.26599/TST.2024.9010117},
abstract = {Although multi-view monitoring techniques have been widely applied in skinned model reconstruction and movement analysis, traditional systems using high-performance Personal Computers (PCs), or industrial cameras are often prohibitive due to high costs and limited scalability. Here, we introduce an affordable, scalable multi-view image acquisition system for skinned model reconstruction in animal studies, utilizing consumer Android devices and a wireless network for synchronized monitoring named Rodent Arena Multi-View Monitor (RAMM). It uses smartphones as camera nodes with local data storage, enabling cost-effective scalability. Its custom synchronization solution and portability make it ideal for research and education in rodent behavior analysis, offering a practical alternative for institutions with limited budgets. Furthermore, the portability and flexibility of this system make it an ideal tool for rodent skinned model research based on multi-view image acquisition. To evaluate the performance, we perform an oscilloscope analysis to ensure effectiveness of synchronization. A 45-camera node setup is built to highlight RAMM’s cost efficiency and ease in constructing large-scale systems. Additionally, the data quality is validated using the Instant Neural Graphics Primitives (Instant-NGP) method. Remarkable results were achieved with a 30.49 dB PSNR by utilizing only 25 images with intrinsic and extrinsic parameters, fulfilling the requirements for well-synchronized data used in 3D representation algorithms.}
}