5 citations · 20 across the 11 of their papers we have counts for
14 papers
CLIP-HandID: Vision-Language Model for Hand-Based Person Identification
Nathanael L. Baisa, Babu Pallam, Amudhavel Jayavel
This paper introduces a novel approach to person identification using hand images, designed specifically for criminal investigations. The method is particularly valuable in serious…
FusionSORT: Fusion Methods for Online Multi-object Visual Tracking
Nathanael L. Baisa
In this work, we investigate four different fusion methods for associating detections to tracklets in multi-object visual tracking. In addition to considering strong cues such as m…
Joint Person Identity, Gender and Age Estimation from Hand Images using Deep Multi-Task Representation Learning
Nathanael L. Baisa
In this paper, we propose a multi-task representation learning framework to jointly estimate the identity, gender and age of individuals from their hand images for the purpose of c…
Local-Aware Global Attention Network for Person Re-Identification Based on Body and Hand Images
Nathanael L. Baisa
Learning representative, robust and discriminative information from images is essential for effective person re-identification (Re-Id). In this paper, we propose a compound approac…
Mushrooms Detection, Localization and 3D Pose Estimation using RGB-D Sensor for Robotic-picking Applications
Nathanael L. Baisa, Bashir Al-Diri
In this paper, we propose mushrooms detection, localization and 3D pose estimation algorithm using RGB-D data acquired from a low-cost consumer RGB-D sensor. We use the RGB and dep…
Multi-Branch with Attention Network for Hand-Based Person Recognition
Nathanael L. Baisa, Bryan Williams, Hossein Rahmani +2
In this paper, we propose a novel hand-based person recognition method for the purpose of criminal investigations since the hand image is often the only available information in ca…
Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning
Nathanael L. Baisa, Bryan Williams, Hossein Rahmani +2
In cases of serious crime, including sexual abuse, often the only available information with demonstrated potential for identification is images of the hands. Since this evidence i…
Derivation of a Constant Velocity Motion Model for Visual Tracking
Nathanael L. Baisa
Motion models play a great role in visual tracking applications for predicting the possible locations of objects in the next frame. Unlike target tracking in radar or aerospace dom…
Occlusion-Robust Online Multi-Object Visual Tracking using a GM-PHD Filter with CNN-Based Re-Identification
Nathanael L. Baisa
We propose a novel online multi-object visual tracker using a Gaussian mixture Probability Hypothesis Density (GM-PHD) filter and deep appearance learning. The GM-PHD filter has a…
Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning
Nathanael L. Baisa
We propose a novel online multi-target visual tracker based on the recently developed Hypothesized and Independent Stochastic Population (HISP) filter. The HISP filter combines adv…
Development of a N-type GM-PHD Filter for Multiple Target, Multiple Type Visual Tracking
Nathanael L. Baisa, Andrew Wallace
We propose a new framework that extends the standard Probability Hypothesis Density (PHD) filter for multiple targets having different types based on Random Finite Set the…
MRI-PET Registration with Automated Algorithm in Pre-clinical Studies
Nathanael L. Baisa, Stéphanie Bricq, Alain Lalande
Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) automatic 3-D registration is implemented and validated for small animal image volumes so that the high-reso…
Long-term Correlation Tracking using Multi-layer Hybrid Features in Sparse and Dense Environments
Nathanael L. Baisa, Deepayan Bhowmik, Andrew Wallace
Tracking a target of interest in both sparse and crowded environments is a challenging problem, not yet successfully addressed in the literature. In this paper, we propose a new lo…
Multiple Target, Multiple Type Filtering in the RFS Framework
Nathanael L. Baisa, Andrew Wallace
A Multiple Target, Multiple Type Filtering (MTMTF) algorithm is developed using Random Finite Set (RFS) theory. First, we extend the standard Probability Hypothesis Density (PHD) f…