Efficient road detection and tracking for unmanned aerial vehicle
An unmanned aerial vehicle (UAV) has many applications in a variety of fields. Detection
and tracking of a specific road in UAV videos play an important role in automatic UAV …
and tracking of a specific road in UAV videos play an important role in automatic UAV …
TRACE: Transformer-based continuous tracking framework using IoT and MCS
Target tracking, a critical application in the Internet of Things (IoT) and Mobile Crowd
Sensing (MCS) domains, is a complex task that involves the continuous estimation of the …
Sensing (MCS) domains, is a complex task that involves the continuous estimation of the …
Traffic-aware multi-camera tracking of vehicles based on reid and camera link model
Multi-target multi-camera tracking (MTMCT), ie, tracking multiple targets across multiple
cameras, is a crucial technique for smart city applications. In this paper, we propose an …
cameras, is a crucial technique for smart city applications. In this paper, we propose an …
Towards real-time traffic movement count and trajectory reconstruction using virtual traffic lanes
A Abdelhalim, M Abbas - … of the IEEE/CVF Conference on …, 2020 - openaccess.thecvf.com
In this paper, we discuss our framework and observations for AI City Challenge Track 1:
Vehicle Counts by Class at Multiple Intersections. The framework we propose utilizes …
Vehicle Counts by Class at Multiple Intersections. The framework we propose utilizes …
City-scale multi-camera vehicle tracking by semantic attribute parsing and cross-camera tracklet matching
This paper focuses on the Multi-Target Multi-Camera Tracking (MTMCT) task in a city-scale
multi-camera network. As the trajectory of each target is naturally split into multiple sub …
multi-camera network. As the trajectory of each target is naturally split into multiple sub …
A robust deep networks based multi-object multi-camera tracking system for city scale traffic
Vision sensors are becoming more important in Intelligent Transportation Systems (ITS) for
traffic monitoring, management, and optimization as the number of network cameras …
traffic monitoring, management, and optimization as the number of network cameras …
Multi-vehicle tracking via real-time detection probes and a markov decision process policy
Y Zou, W Zhang, W Weng, Z Meng - Sensors, 2019 - mdpi.com
Online multi-object tracking (MOT) has broad applications in time-critical video analysis
scenarios such as advanced driver-assistance systems (ADASs) and autonomous driving. In …
scenarios such as advanced driver-assistance systems (ADASs) and autonomous driving. In …
Integration of the 3d environment for UAV onboard visual object tracking
Single visual object tracking from an unmanned aerial vehicle (UAV) poses fundamental
challenges such as object occlusion, small-scale objects, background clutter, and abrupt …
challenges such as object occlusion, small-scale objects, background clutter, and abrupt …
Tracking vehicles as groups in airborne videos
Airborne vehicle tracking system is receiving increasing attention due to its high mobility, low
cost and large surveillance scope. However, tracking multiple vehicles simultaneously on …
cost and large surveillance scope. However, tracking multiple vehicles simultaneously on …
Pedestrian detection and tracking system based on Deep-SORT, YOLOv5, and new data association metrics
Pedestrian tracking and detection have become critical aspects of advanced driver
assistance systems (ADASs), due to their academic and commercial potential. Their …
assistance systems (ADASs), due to their academic and commercial potential. Their …