Sökning: "network based video surveillance"
Visar resultat 1 - 5 av 22 uppsatser innehållade orden network based video surveillance.
1. Fog detection using an artificial neural network
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. LÄS MER
2. Anchor-free object detection in surveillance applications
Master-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)Sammanfattning : Computer vision object detection is the task of detecting and identifying objects present in an image or a video sequence. Models based on artificial convolutional neural networks are commonly used as detector models. Object detection precision and inference efficiency are crucial for surveillance-based applications. LÄS MER
3. Performance analysis of adaptive streaming algorithms for a low-latency environment
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Streaming video over the internet can face issues when met with poor and varying network conditions, which can be especially noticeable when streaming live video such as security footage or video calling. To handle this, there exists congestion control algorithms that monitor network conditions based on feedback from the receiver and adapt the video output. LÄS MER
4. Detecting Furniture in Images Based on Neural Network Models
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Object detection is a challenging task that locates objects within an image or video and thenallows us to count and then track those objects. It is applied in a variety of ways, such as crowd counting, self-driving vehicles, video surveillance, face identification, and anomaly detection, and is utilized in a wide range of industries, including retail, sport, healthcare, marketing, interior design, agriculture, construction, and recreation. LÄS MER
5. Pose Classification of Horse Behavior in Video : A deep learning approach for classifying equine poses based on 2D keypoints
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis investigates whether Computer Vision can be a useful tool in interpreting the behaviors of monitored horses. In recent years, research in the field of Computer Vision has primarily focused on people, where pose estimation and action recognition are popular research areas. LÄS MER