In this work, we propose a novel taxonomy to partition the problem of testing advanced
driver assistance systems (ADAS) into three basic dimensions. These dimensions are …

This paper introduces VEDAI: Vehicle Detection in Aerial Imagery a new database of aerial
images provided as a tool to benchmark automatic target recognition algorithms in …

Object recognition systems constitute a deeply entrenched and omnipresent component of
modern intelligent systems. Research on object recognition algorithms has led to advances …

This paper describes the robust reading competitions for ICDAR 2003. With the rapid growth
in research over the last few years on recognizing text in natural scenes, there is an urgent …

The increasing availability of high-performance, low-priced, portable digital imaging devices
has created a tremendous opportunity for supplementing traditional scanning for document …

Visual surveillance is an active research topic in image processing. Transit systems are
actively seeking new or improved ways to use technology to deter and respond to accidents …

Abstract Evaluation of object detection algorithms is a non-trivial task: a detection result is
usually evaluated by comparing the bounding box of the detected object with the bounding …

In this paper, we propose novel methods to evaluate the performance of object detection
algorithms in video sequences. This procedure allows us to highlight characteristics (eg …

This paper describes the results of the ICDAR 2005 competition for locating text in camera
captured scenes. For this we used the same data as the ICDAR 2003 competition, which has …

The problem of using pictures of objects captured under ideal imaging conditions (here
referred to as in vitro) to recognize objects in natural environments (in situ) is an emerging …