Vehicle re-identification (Re-ID) plays a key role in many smart traffic management systems. Re-identifying a vehicle can be very challenging because the differences in visual appearances between pairs of vehicles are sometimes extremely subtle if they have the same colour and the same model. Given an image of a vehicle, most existing techniques adopt a global feature representation where details may be ignored. In this paper, we propose an Self-Attention Stair Feature Fusion model to learn the discriminative features for vehicle Re-ID. The model is designed to extract multi-level features in order to capture as much small details as possible. We also propose a Temporal Bayesian Re-Ranking method to exploit the spatial-temporal information in the vehicles’ travel patterns. Our algorithm has been tested against state-of-the-art techniques on popular benchmarks. The results show that our algorithm outperforms other state-of-the-art techniques by a large margin.
|Title of host publication
|International Joint Conference on Neural Networks (IJCNN)
|Place of Publication
|IEEE, Institute of Electrical and Electronics Engineers
|Number of pages
|Published - Jul 2019
|International Joint Conference on Neural Networks - InterContinental Budapest Hotel, Budapest, Hungary
Duration: 14 Jul 2019 → 19 Jul 2019
|Proceedings of the International Joint Conference on Neural Networks
|International Joint Conference on Neural Networks
|14/07/19 → 19/07/19
|The 2019 International Joint Conference on Neural Networks (IJCNN) will be held at the InterContinental Budapest Hotel in Budapest, Hungary on July 14-19, 2019. The conference is organized by the International Neural Network Society (INNS) in cooperation with the IEEE Computational Intelligence Society, and is the premier international meeting for researchers and other professionals in neural networks and related areas. It will feature invited plenary talks by world-renowned speakers in the areas of neural network theory and applications, computational neuroscience, robotics, and distrbuted intelligence. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions, competitions, tutorials and workshops on topics of current interest.