Visual Approaches for Handle Recognition

Jauregi, E.; Lazkano, Elena; Martínez-Otzeta, José María; Sierra, Basilio

doi:10.1007/978-3-540-78317-6_32

Cited by 3 publications

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many researchers used vision to tackle the problem of indoor landmark detection, i.e. [4], [5], [6], and [7] [8]. They achieved high performance and good results in comparison with other methods that only use sensory information.…”

Section: Introductionmentioning

confidence: 99%

Geometric model for vision-based door detection

Shalaby

Salem

Khamis

et al. 2014

2014 9th International Conference on Computer Engineering &Amp; Systems (ICCES)

View full text Add to dashboard Cite

Emerging assistive technologies, such as assistive domotics and socially assistive robots have considerable potential for enhancing the lives of many elderly and physically challenged people throughout the world. Blind and visually impaired people can use these technologies for many tasks recognizing objects, handling various household duties, navigation in indoor and outdoor environments. Door detection is one of the important issues in indoor navigation. This paper presents a novel vision-based door detection technique. It is based on the geometric properties of the 4-side polygon. The efficacy of the proposed method is tested using large database of images with different levels of complexity. The experimental results show the robust ness of the proposed method against changes in colors, sizes, shapes, orientations, and textures of the door. De tection rate of 83% with relatively low false positive rate for simple images is achieved. This proposed algorithm is suitable for real-time, portable applications where it only requires one digital camera and low computational resources.

show abstract

Section: Introductionmentioning

confidence: 99%