Robust Privacy-Preserving Motion Detection and Object Tracking in Encrypted Streaming Video

by   Xianhao Tian, et al.

Video privacy leakage is becoming an increasingly severe public problem, especially in cloud-based video surveillance systems. It leads to the new need for secure cloud-based video applications, where the video is encrypted for privacy protection. Despite some methods that have been proposed for encrypted video moving object detection and tracking, none has robust performance against complex and dynamic scenes. In this paper, we propose an efficient and robust privacy-preserving motion detection and multiple object tracking scheme for encrypted surveillance video bitstreams. By analyzing the properties of the video codec and format-compliant encryption schemes, we propose a new compressed-domain feature to capture motion information in complex surveillance scenarios. Based on this feature, we design an adaptive clustering algorithm for moving object segmentation with an accuracy of 4x4 pixels. We then propose a multiple object tracking scheme that uses Kalman filter estimation and adaptive measurement refinement. The proposed scheme does not require video decryption or full decompression and has a very low computation load. The experimental results demonstrate that our scheme achieves the best detection and tracking performance compared with existing works in the encrypted and compressed domain. Our scheme can be effectively used in complex surveillance scenarios with different challenges, such as camera movement/jitter, dynamic background, and shadows.


page 2

page 12

page 13

page 14

page 15

page 16

page 17

page 20


Tracking Multiple Moving Objects Using Unscented Kalman Filtering Techniques

It is an important task to reliably detect and track multiple moving obj...

Encrypted Semantic Communication Using Adversarial Training for Privacy Preserving

Semantic communication is implemented based on shared background knowled...

A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis

Multiple-object tracking and behavior analysis have been the essential p...

Privacy Aware Person Detection in Surveillance Data

Crowd management relies on inspection of surveillance video either by op...

Impact of Video Compression on the Performance of Object Detection Systems for Surveillance Applications

This study examines the relationship between H.264 video compression and...

Scale Invariant Privacy Preserving Video via Wavelet Decomposition

Video surveillance has become ubiquitous in the modern world. Mobile dev...

Audio Surveillance: a Systematic Review

Despite surveillance systems are becoming increasingly ubiquitous in our...

Please sign up or login with your details

Forgot password? Click here to reset