Detection of lane markings based on a camera sensor can be a low cost solution to lane departure and curve over speed warning. A number of methods and implementations have been reported in the literature. However, reliable detection is still an issue due to cast shadows, wearied and occluded markings, variable ambient lighting conditions etc. We focus on increasing the reliability of detection ...

We present a methodology for the quantitative performance evaluation of detection algorithms in computer vision. A common method is to generate a variety of input images by varying the image parameters and evaluate the performance of the algorithm as algorithm parameters vary. Operating curves that relate the probability of mis-detection and false alarm are generated for each parameter setting....

Symmetry is one of the most important cues for human and machine perception of the chaotic real world. For over three decades now, automatic symmetry detection from images/patterns has been a standing topic in computer vision. We observe a surge of new symmetry detection algorithms that go beyond simple bilateral symmetry detection. This paper presents a systematic, quantitative evaluation of r...

A visiting professor at NIST once pointed out that our measurement professionals are given a difficult task by some of our customers. In a (macroscopically) continuum universe, we are asked to perform measurements with tools and techniques of finite precision and in the end to produce digital answers, preferably binary: yes or no, safe or unsafe, above or below the regulatory limit. A common tr...

Motivated by the problem of verifying the correctness of arrhythmia-detection algorithms, we present a formalization of these algorithms in the language of Quantitative Regular Expressions. QREs are a flexible formal language for specifying complex numerical queries over data streams, with provable runtime and memory consumption guarantees. The medical-device algorithms of interest include peak...

Measuring accuracy of a face detection algorithm hardly ever mentioned in detail and explicitly. The standard and terminology used in each experiment reported in each paper were vary and not standardized. In this paper, a method for calculating detection accuracy empirically is proposed. It consists of two algorithms that can be used for measuring accuracy of single face image and multiple face...