Feature Fusion Strategy Based on Concatenation of Histogram of Oriented Gradients and Pretrained CNN Features for Visual Object Tracking
- DOI
- 10.58482/ijeresm.v5i2.2
- Published
- 4
- Container
- International Journal of Emerging Research in Engineering, Science, and Management
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.58482/ijeresm.v5i2.2,
title = {Feature Fusion Strategy Based on Concatenation of Histogram of Oriented Gradients and Pretrained CNN Features for Visual Object Tracking},
author = {Villari Sreenatha Sarma and P.M. Ashok Kumar and Vadamala Purandhar Reddy},
year = {2026},
journal = {International Journal of Emerging Research in Engineering, Science, and Management},
doi = {10.58482/ijeresm.v5i2.2},
url = {https://doi.org/10.58482/ijeresm.v5i2.2}
}RIS
TY - JOUR TI - Feature Fusion Strategy Based on Concatenation of Histogram of Oriented Gradients and Pretrained CNN Features for Visual Object Tracking AU - Villari Sreenatha Sarma AU - P.M. Ashok Kumar AU - Vadamala Purandhar Reddy PY - 2026 JO - International Journal of Emerging Research in Engineering, Science, and Management DO - 10.58482/ijeresm.v5i2.2 UR - https://doi.org/10.58482/ijeresm.v5i2.2 ER -
APA
Sarma, V. S., Kumar, P. A., & Reddy, V. P. (2026). Feature Fusion Strategy Based on Concatenation of Histogram of Oriented Gradients and Pretrained CNN Features for Visual Object Tracking. International Journal of Emerging Research in Engineering, Science, and Management. https://doi.org/10.58482/ijeresm.v5i2.2
Source records
- doaj · retrieved 2026-09-25T03:20:28.817Z