The intelligent analysis of video data is currently in wide demand because a video is a major
source of sensory data in our lives. Text is a prominent and direct source of information in …

Common benchmark data sets, standardized performance metrics, and baseline algorithms
have demonstrated considerable impact on research and development in a variety of …

This paper proposes a two-stage system for text detection in video images. In the first stage,
text lines are detected based on the edge map of the image leading in a high recall rate with …

The security situation of the Internet of Things (IoT) is serious. IoT encounters security
problems more than traditional computer networks does. The attributes of dispersity and …

Multi-view scene analysis has been widely explored in computer vision, including numerous
practical applications. The texts in multi-view scenes are often detected by following the …

This paper proposes an algorithm for detecting artificial text in video frames using edge
information. First, an edge map is created using the Canny edge detector. Then …

In this paper we propose an edge-based algorithm for artificial text detection in video frames.
First, an edge map is created using the Canny edge detector. Then, morphological filtering is …

This paper proposes a performance evaluation method for text detection in color images.
The method, contrary to previous approaches, is not based on the inexplicitly defined text …

In this work, we present a recently developed evaluation framework for video OCR
specifically for English Text but could well be generalized for other languages as well …

This paper proposes a number of methods to evaluate features in the context of people
tracking in complex environments. Such environments will have varying lighting conditions …