Essays about: "Network based video surveillance"

Showing result 1 - 5 of 19 essays containing the words Network based video surveillance.

  1. 1. Fog detection using an artificial neural network

    University essay from Lunds universitet/Matematisk statistik

    Author : Quanwei Li; Tiancheng Ma; [2023]
    Keywords : Machine Learning; Deep Learning; Image Analysis; Computer Vision; Mathematics and Statistics;

    Abstract : 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. READ MORE

  3. 2. Anchor-free object detection in surveillance applications

    University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Author : Peter Magnusson; [2023]
    Keywords : computer vision; object detection; detector models; artificial neural networks; deep learning; detection precision; inference efficiency; surveillance applications; anchor-free detection; convolutional neural network; machine learning;

    Abstract : 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. READ MORE

  4. 3. Performance analysis of adaptive streaming algorithms for a low-latency environment

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Antonio Kevo; Albert Sjölund; [2022]
    Keywords : Technology and Engineering;

    Abstract : 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. READ MORE

  5. 4. Detecting Furniture in Images Based on Neural Network Models

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Jiayan Yang; [2022]
    Keywords : ;

    Abstract : 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. READ MORE

  6. 5. Pose Classification of Horse Behavior in Video : A deep learning approach for classifying equine poses based on 2D keypoints

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Michaela Söderström; [2021]
    Keywords : Deep Learning; Computer Visison; Horse behavior; Pose estimation; 2D key- points; Pose classification; DeepLabCut; Djupinlärning; Datorseende; Hästbeteende; Pose-estimering; Nyckelpunkter; Intressepunkter; Pose-klassificering; DeepLabCut;

    Abstract : 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. READ MORE