Sökning: "Pedestrian Tracking"
Visar resultat 1 - 5 av 25 uppsatser innehållade orden Pedestrian Tracking.
1. Automatic context-dependent driver attention monitoring using eye tracking and digital maps
Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknikSammanfattning : Driver distraction is a contributing factor to car accidents here a warning system could potentially prevent some of these accidents by making the driver aware of distraction and redirecting the focus back to driving-related activities. The purpose of this work is to better understand where drivers direct their attention while driving and where the attention should be directed for the driver to be considered attentive. LÄS MER
2. Clustering on groups for human tracking with 3D LiDAR
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : 3D LiDAR people detection and tracking applications rely on extracting individual people from the point cloud for reliable tracking. A recurring problem for these applications is under-segmentation caused by people standing close or interacting with each other, which in turn causes the system to lose tracking. LÄS MER
3. Multi-Camera Multi-Person Tracking Using Reinforcement Learning
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : The problem of multi-object-tracking in a network of cameras is an interesting and non-trivial problem. Given videos from a number of cameras the goal of Multi-Camera Multi-Object Tracking (MCMOT) is to find the full visible trajectory of each pedestrian from the videos as the pedestrians move across cameras. LÄS MER
4. Unsupervised multiple object tracking on video with no ego motion
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Multiple-object tracking is a task within the field of computer vision. As the name stated, the task consists of tracking multiple objects in the video, an algorithm that completes such task are called trackers. LÄS MER
5. Pedestrian Multiple Object Tracking in Real-Time
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Multiple object tracking (MOT) is the task of detecting multiple objects in a scene and associating detections over time to form tracks. It is essential for many scene understanding tasks like surveillance, robotics and autonomous driving. LÄS MER