10 citations · 13 across the 3 of their papers we have counts for
7 papers
PeR-ViS: Person Retrieval in Video Surveillance using Semantic Description
Parshwa Shah, Arpit Garg, Vandit Gajjar
A person is usually characterized by descriptors like age, gender, height, cloth type, pattern, color, etc. Such descriptors are known as attributes and/or soft-biometrics. They li…
Person Retrieval in Surveillance Video using Height, Color and Gender
Hiren Galiyawala, Kenil Shah, Vandit Gajjar +1
A person is commonly described by attributes like height, build, cloth color, cloth type, and gender. Such attributes are known as soft biometrics. They bridge the semantic gap bet…
ViS-HuD: Using Visual Saliency to Improve Human Detection with Convolutional Neural Networks
Vandit Gajjar, Yash Khandhediya, Ayesha Gurnani +2
The paper presents a technique to improve human detection in still images using deep learning. Our novel method, ViS-HuD, computes visual saliency map from the image. Then the inpu…
2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks
Vandit Gajjar
In this paper, we tackle the classification of gender in facial images with deep learning. Our convolutional neural networks (CNN) use the VGG-16 architecture [1] and are pretraine…
SAF- BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression
Ayesha Gurnani, Kenil Shah, Vandit Gajjar +2
How can we improve the facial soft-biometric classification with help of the human visual system? This paper explores the use of saliency which is equivalent to the human visual sy…
Human Detection for Night Surveillance using Adaptive Background Subtracted Image
Yash Khandhediya, Karishma Sav, Vandit Gajjar
Surveillance based on Computer Vision has become a major necessity in current era. Most of the surveillance systems operate on visible light imaging, but performance based on visib…