Multi-faced object recognition in an image for inventory counting

T Sharma, SD Rajurkar, N Molangur, NK Verma… - … , Applications and Future …, 2019 - Springer
Herein, an approach is presented to count objects in an image with different viewpoints. The
multiple views of prototype have been used to get the viewpoint invariance in Speeded Up …

Vision based object counting using speeded up robust features for inventory control

NK Verma, T Sharma, RK Sevakula… - 2016 International …, 2016 - ieeexplore.ieee.org
In this paper, an approach for industrial machine vision system is introduced for effective
maintenance of inventory in order to minimize the production cost in supply chain network …

Object matching using speeded up robust features

NK Verma, A Goyal, AH Vardhan, RK Sevakula… - … Systems: The 19th Asia …, 2016 - Springer
Autonomous object counting system can help industries to keep track of their inventory in
real time and adjust their production rate suitably. In this paper we have proposed a robust …

Supervised approach for object identification using speeded up robust features

P Agrawal, T Sharma… - International Journal of …, 2020 - inderscienceonline.com
This paper proposes a vision based novel approach for real-time object counting. The
proposed approach uses the textural information for object counting. Speeded up robust …

Unsupervised approach for object matching using speeded up robust features

AH Vardhan, NK Verma, RK Sevakula… - 2015 IEEE Applied …, 2015 - ieeexplore.ieee.org
Autonomous object counting system is of great use in retail stores, industries and also in
research processes. In this paper, a Speeded Up Robust Feature (SURF) based robust …

Object counting using KAZE features under different lighting conditions for inventory management

T Sharma, A Jain, NK Verma… - 2019 IEEE Applied …, 2019 - ieeexplore.ieee.org
Inventory management in an automated industrial environment is the foremost requirement
in order to shorten the gap between demand and supply. It comprises of object identification …

Unsupervised object counting without object recognition

T Katsuki, T Morimura, T Idé - 2016 23rd International …, 2016 - ieeexplore.ieee.org
This paper addresses the problem of object counting, which is to estimate the number of
objects of interest from an input observation. We formalize the problem as a posterior …

Multiple object identification using grid voting of object center estimated from keypoint matches

K Higa, K Iwamoto, T Nomura - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
This paper proposes a method to detect and identify multiple objects in an image using grid
voting of object center positions estimated from local descriptor keypoint matches. For each …

Automated object counting for visual inspection applications

AA Khule, MS Nagmode… - … Conference on Information …, 2015 - ieeexplore.ieee.org
Object counting is a popular operation in computer vision. It is also useful for visual
inspection. When counting objects for visual inspection count of objects with similar features …

Deep learning-based improved object recognition in warehouses

S Fouzia, M Bell, R Klette - Image and Video Technology: 8th Pacific-Rim …, 2018 - Springer
Research migrates in recent years from model-based object detection and classification to
data-driven approaches. With the efficiency improvement of computational resources …