A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework

ICCV 2017 Weixin LuoWen LiuShenghua Gao

Motivated by the capability of sparse coding based anomaly detection, we propose a Temporally-coherent Sparse Coding (TSC) where we enforce similar neighbouring frames be encoded with similar reconstruction coefficients. Then we map the TSC with a special type of stacked Recurrent Neural Network (sRNN)... (read more)

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