Laser-Based Algorithms Meeting Privacy in Surveillance: A Survey

Md Haidar Sharif

doi:10.1109/access.2021.3092687

Abstract

Privacy of people is a key factor in surveillance systems. Video camera brings us well-off color information. How would the privacy be secured then? Besides, privacy protection should not create a hindrance for finding of objects or people under specific cases. Laser scanner takes way affluent color information. It functions with eye-safe and invisible laser beam. Yet, it provides us robust object recognition map. Images can be interpreted by humans, but laser-based systems need software applications to explain the data. Camera-based surveillance system does not focus on the problem of private life conservation. On the contrary, laser-based surveillance system ensures privacy of people inherently, as it does not record real world videos except laser scanned data points. In this paper, first, the privacy issues of people for both surveillance systems have been compared to realize their significance. Second, a qualitative performance comparison between laser-based and RGB camera-based systems has been made to hint that laser-based algorithms should be used instead of common RGB cameras. Third, a succinct survey of laser-based detection and tracking algorithms of movers has been conducted. Final, a superiority measure of the leading laser-based people-vehicles related algorithms has been performed on the basis of statistical test scores deeming the ineffectualness metrics (e.g., errors and failures) of each algorithm.

Highlights

Detection and tracking movers should be an important issue for surveillance systems and traffic analysis in conurbations
We have focused on people-vehicles related algorithms in TABLE 1 rather than TABLE 2 or TABLE 3, or TABLE 4
We provided an overview of methods to classify objects using laser scanners instead of common video recording RGB cameras

Summary

INTRODUCTION

Detection and tracking movers (e.g., pedestrians, vehicles, and etc.) should be an important issue for surveillance systems and traffic analysis in conurbations. B. SIGNIFICANCE OF LASER-BASED SURVEILLANCE some problems of private life safekeeping can be solved by CCTV systems after making appropriate masks, there are several major problems remain: (a) Normally they take photos of the whole objects (except masked regions if applicable) and they need high speed processor for data processing; (b) If light illumination changes, the quality of videos change dramatically; (c) Sometimes masking is extremely difficult, and CCTV cannot be placed in general everywhere to monitor activities of people. BLINDNESS AND GHOST OBJECTS A smart vision or surveillance system may consist of either laser-based technology or RGB camera-based technology or a hybrid Such system should detect and track all occurring events within its range. Future developments would take into account their existing algorithmic assumptions and other shortcomings to propose smarter algorithms

ESTIMATION OF ALGORITHMIC ERRORS AND FAILURES

CONCLUSION