We present a mobile head-mounted device for detecting and tracking text that is encased in an ordinary flat-cap hat. The main parts of the device are an integrated camera and audio webcam together with a simple remote control system, all connected via a USB hub to a laptop. A near to real-time text detection algorithm (around 14fps for 640× 480 images) which uses Maximal Stable Extremal Regions...

Identification of the footwear traces from crime scenes is an important yet largely forgotten aspect of forensic intelligence and evidence. We present initial results from a developing automatic footwear classification system. The underlying methodology is based on large numbers of localized features located using MSER feature detectors. These features are transformed into robust SIFT or GLOH d...

We propose a novel distinguished region detector called Maximally Stable Corner Cluster detector (MSCC). It is complementary to existing approaches like Harris-corner detectors, Difference of Gaussian detectors (DoG) or Maximally Stable Extremal Regions (MSER). The basic idea is to find distinguished regions by looking at clusters of interest points and using the concept of maximal stableness a...

Automatically segmenting bone tissue in MRI scans requires robustness against poor signal-to-noise ratios, highly inconsistent lighting conditions, and variability within bone tissues. Because of these difficulties, very little literature exists on automatic MRI bone segmentation. Current state-of-the-art methods are either semi-automatic or rely on databases of prior manual segmentations. Here...

This paper presents a novel framework for 3D full body reconstruction of human motion from uncalibrated monocular video data. We first detect and track feature sets from video sequences by employing MSER and SURF feature detection techniques together with prior information obtained from the motion capture database. By deriving suitable feature sets from both video and motion capture data, we ar...

We describe the prototype of an image retrieval system used for mobile guide applications. It allows users to send image queries of urban scenes using camera phones. The system uses a database of views of scenes to determine the poses of query views provided by the users. Information are then mapped onto the query views. Our approach is based on a fully affine invariant descriptor, coined PRIUS...

Design of a new intelligent driver assistance system based on traffic sign detection with Persian context is concerned in this paper. The primary aim of this system is to increase the precision of drivers in choosing their path with regard to traffic signs. To achieve this goal, a new framework that implements fuzzy logic was used to detect traffic signs in videos captured along a highway f...