In this paper, we propose a novel anomaly detection approach based on Locality Sensitive Hashing Filters (LSHF), which hashes normal activities into multiple ...

In this paper, we propose a novel anomaly detection approach based on Locality Sensitive Hashing Filters (LSHF), which hashes normal activities into ...

A novel approach is proposed to detect anomalies in the video based on Locality Sensitive Hashing (LSH), which maps similar data to the same bucket with ...

Jul 11, 2024 · In this paper, we propose a novel anomaly detection approach based on Locality Sensitive Hashing Filters (LSHF), which hashes normal activities ...

Abnormal event detection in video is a challenging vision problem. Most existing approaches formulate abnormal event detection as an outlier detection task, due ...

In the paper, a novel approach is proposed to detect anomalies in the video. It is based on Locality Sensitive Hashing (LSH), which maps similar data to the ...

It is based on Locality Sensitive Hashing (LSH), which maps similar data to the same bucket with high probabilities, and non-similar data is mapped to the same ...

A novel approach is proposed to detect anomalies in the video. It is based on Locality Sensitive Hashing (LSH), which maps similar data to the same bucket with ...

In this paper, we propose a novel anomaly detection approach based on Locality Sensitive Hashing Filters. (LSHF), which hashes normal activities into ...

We present a locality sensitive hashing filters based method for anomaly detection. • Normal activities are hashed by hash functions into buckets to build ...