Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks
Low-power computer vision on embedded devices has many applications. This paper describes a low-power technique for the object re-identification (reID) problem: matching a query image against a gallery of previously-seen images. State-of-the-art techniques rely on large, computationally-intensive Deep Neural Networks (DNNs). We propose a novel hierarchical DNN architecture that uses …