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REU Week 4: Real-Time Video Anomaly Detection

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Presentation on theme: "REU Week 4: Real-Time Video Anomaly Detection"— Presentation transcript:

1 REU Week 4: Real-Time Video Anomaly Detection
Project Leader: Praveen Tirupattur Urvi Gianchandani

2 Overview Experiments Papers Next Steps

3 Experiments

4 Sparse Autoencoder Actual Frame Reconstructed Frame

5 Autoencoder with Optical Flow
Optical Flow Frame Reconstructed Frame

6 Papers

7 Unsupervised Deep Embedding for Clustering Analysis: Junyuan Xie, Ross Girshick , Ali Farhadi (1)
DEC (Deep Embedded Clustering): learn feature representation & cluster assignments simultaneously Two Phases: Parameter initialization (SAE): representations Parameter optimization (clustering): Soft assignment KL divergence Optimization

8 Deep Adaptive Image Clustering: Jianlong Chang, Lingfeng Wang, Gaofeng Meng, Shiming Xiang, Chunhong Pan (2)

9 Jianwei Yang, Devi Parikh, Dhruv Batra (3)
Joint Unsupervised Learning of Deep Representations and Image Clusters : Jianwei Yang, Devi Parikh, Dhruv Batra (3) CNN: deep representations Agglomerative clustering: recurrent process to merge clusters

10 Next Steps Implement DEC on Ped2 dataset Deep Clustering

11 References https://arxiv.org/pdf/1511.06335.pdf


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