Search Results for author:
Found 9 papers, 2 papers with code
PeR-ViS: Person Retrieval in Video Surveillance using Semantic Description
Instead of using an image query, in this paper, we study the problem of person retrieval in video surveillance with a semantic description.
Person Retrieval in Surveillance Video using Height, Color and Gender
A person is commonly described by attributes like height, build, cloth color, cloth type, and gender.
Ranked #1 on
Person Retrieval
on SoftBioSearch
SAF- BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression
This paper explores the use of saliency which is equivalent to the human visual system to classify Age, Gender and Facial Expression soft-biometric for facial images.
2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks
In this paper, we tackle the classification of gender in facial images with deep learning.
ViS-HuD: Using Visual Saliency to Improve Human Detection with Convolutional Neural Networks
A visual saliency map is generated using ML-Net and human detection is carried out using DetectNet.
Human Detection for Night Surveillance using Adaptive Background Subtracted Image
The proposed method for human detection involves processing of Thermal images by using HOG (Histogram of Oriented Gradients) feature extraction technique along with some enhancements.
Human Detection and Tracking for Video Surveillance A Cognitive Science Approach
With crimes on the rise all around the world, video surveillance is becoming more important day by day.
Hand Gesture Real Time Paint Tool - Box
With current development universally in computing, now a days user interaction approaches with mouse, keyboard, touch-pens etc.
Flower Categorization using Deep Convolutional Neural Networks
We have compared the performance of two different Convolutional Neural Network architectures GoogLeNet and AlexNet for classification purpose.
