Abstract:
In the person re-identification across multiple camera research field, attributes of the pedestrian are important cues to differentiate the appearance of each identity. I...Show MoreMetadata
Abstract:
In the person re-identification across multiple camera research field, attributes of the pedestrian are important cues to differentiate the appearance of each identity. In this work, ten types of attributes are considered as defined in the DukeMTMC-attribute dataset. A custom deep network architecture is proposed to perform the identification process. Furthermore, experiments were carried out to assess the system compared to other pre-trained networks which are commonly used in other literature. The results show that the proposed network achieve better performance compared to the others.σ
Date of Conference: 29 October 2017 - 01 November 2017
Date Added to IEEE Xplore: 18 December 2017
ISBN Information: