Sökning: "automated video surveillance"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden automated video surveillance.
1. Anomaly Detection with Machine Learning using CLIP in a Video Surveillance Context
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : This thesis explores the application of Contrastive Language-Image Pre-Training (CLIP), a vision-language model, in an automated video surveillance system for anomaly detection. The ability of CLIP to perform zero-shot learning, coupled with its robustness against minor image alterations due to its lack of reliance on pixel-level image analysis, makes it a suitable candidate for this application. LÄS MER
2. Anomaly detection in surveillance camera data
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : The importance of detecting anomalies in surveillance camera data cannot be overemphasized. With the increasing availability of surveillance cameras in public and private locations, the need for reliable and effective methods to detect anomalous behavior has become critical to public safety. LÄS MER
3. Use of improved Deep Learning and DeepSORT for Vehicle estimation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Intelligent Traffic System (ITS) has high application value in nowadays vehicle surveillance and future applications such as automated driving. The crucial part of ITS is to detect and track vehicles in real-time video stream with high accuracy and low GPU consumption. LÄS MER
4. Visual Tracking with Deep Learning : Automatic tracking of farm animals
Master-uppsats, KTH/Radio Systems Laboratory (RS Lab)Sammanfattning : Automatic tracking and video of surveillance on a farm could help to support farm management. In this project, an automated detection system is used to detect sows in surveillance videos. This system is based upon deep learning and computer vision methods. LÄS MER
5. Multi-person tracking system for complex outdoor environments
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : The thesis represents the research in the domain of modern video tracking systems and presents the details of the implementation of such a system. Video surveillance is a high point of interest and it relies on robust systems that interconnect several critical modules: data acquisition, data processing, background modeling, foreground detection and multiple object tracking. LÄS MER