Abnormal activity capture from passenger flow of elevator based on unsupervised learning and fine-grained multi-label recognition

no code implementations • 29 Jun 2020 • Chunhua Jia, Wenhai Yi, Yu Wu, Hui Huang, Lei Zhang, Leilei Wu

We present a work-flow which aims at capturing residents' abnormal activities through the passenger flow of elevator in multi-storey residence buildings.

Anomaly Detection Clustering +2

GraftNet: An Engineering Implementation of CNN for Fine-grained Multi-label Task

no code implementations • 27 Apr 2020 • Chunhua Jia, Lei Zhang, Hui Huang, Weiwei Cai, Hao Hu, Rohan Adivarekar

Multi-label networks with branches are proved to perform well in both accuracy and speed, but lacks flexibility in providing dynamic extension onto new labels due to the low efficiency of re-work on annotating and training.

General Classification Multi-Label Classification