Real-time method for counting unseen stacked objects in mobile
A novel method that automatically counts number of objects piled or stacked to each other in mobile device image is proposed. Distinct from other methods, the proposed method automatically determines the size and shape and detects the template of unknown to-be-counted objects. Such template is then...
Saved in:
Main Authors: | Phawis Thammasorn, Sukitta Boonchu, Aram Kawewong |
---|---|
Format: | Conference Proceeding |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84897748147&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/52412 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Real-time method for counting unseen stacked objects in mobile
by: Phawis Thammasorn, et al.
Published: (2018) -
Saliency-weighted holistic scene text recognition for unseen place categorization
by: Phawis Thammasorn, et al.
Published: (2018) -
Saliency-weighted holistic scene text recognition for unseen place categorization
by: Phawis Thammasorn, et al.
Published: (2018) -
Fast online incremental approach of unseen place classification using disjoint-text attribute prediction
by: Rapeeporn Pimup, et al.
Published: (2018) -
Object categorization using co-occurrence and spatial relationship with human interaction
by: Prapatsorn Wisuttirungseurai, et al.
Published: (2018)