Camera Collaboration

Camera collaboration focuses on coordinating multiple cameras to achieve superior visual analysis compared to individual camera processing. Current research emphasizes efficient distributed processing using techniques like dynamic workload allocation and object-wise spatio-temporal association to reduce redundancy and latency, as well as employing reinforcement learning and imitation learning to optimize camera control and video streaming configurations for tasks such as multi-object tracking and 3D pose estimation. These advancements improve the accuracy and efficiency of video analytics applications, impacting fields like surveillance, robotics, and virtual reality by enabling more robust and comprehensive scene understanding.