An improved statistical approach for moving object detection in thermal video frames

2022 ◽  
Author(s):  
Mritunjay Rai ◽  
Rohit Sharma ◽  
Suresh Chandra Satapathy ◽  
Dileep Kumar Yadav ◽  
Tanmoy Maity ◽  
...  
Keyword(s):  
Object Detection ◽  
Statistical Approach ◽  
Moving Object Detection ◽  
Moving Object ◽  
Video Frames ◽  
Thermal Video

scholarly journals Real-Time Moving Object Detection in High-Resolution Video Sensing

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3591 ◽  
Author(s):  
Haidi Zhu ◽  
Haoran Wei ◽  
Baoqing Li ◽  
Xiaobing Yuan ◽  
Nasser Kehtarnavaz
Keyword(s):  
High Resolution ◽  
Object Detection ◽  
Real Time ◽  
Moving Object Detection ◽  
Moving Object ◽  
Computationally Efficient ◽  
Real Time Processing ◽  
Time Processing ◽  
Video Frames ◽  
High Resolution Images

This paper addresses real-time moving object detection with high accuracy in high-resolution video frames. A previously developed framework for moving object detection is modified to enable real-time processing of high-resolution images. First, a computationally efficient method is employed, which detects moving regions on a resized image while maintaining moving regions on the original image with mapping coordinates. Second, a light backbone deep neural network in place of a more complex one is utilized. Third, the focal loss function is employed to alleviate the imbalance between positive and negative samples. The results of the extensive experimentations conducted indicate that the modified framework developed in this paper achieves a processing rate of 21 frames per second with 86.15% accuracy on the dataset SimitMovingDataset, which contains high-resolution images of the size 1920 × 1080.

Eventmd: High-Speed Moving Object Detection Based on Event-Based Video Frames

2022 ◽  
Author(s):  
SHIXIONG ZHANG ◽  
Wenmin Wang ◽  
Honglei Li ◽  
Shenyong Zhang
Keyword(s):  
Object Detection ◽  
High Speed ◽  
Moving Object Detection ◽  
Moving Object ◽  
Video Frames ◽  
Event Based

scholarly journals Top-Down and Bottom-Up Cues Based Moving Object Detection for Varied Background Video Sequences

2014 ◽  
Vol 2014 ◽  
pp. 1-20 ◽  
Author(s):  
Chirag I. Patel ◽  
Sanjay Garg ◽  
Tanish Zaveri ◽  
Asim Banerjee
Keyword(s):  
Object Detection ◽  
Initial Conditions ◽  
Moving Object Detection ◽  
Moving Object ◽  
Top Down ◽  
Bottom Up ◽  
Video Frames ◽  
Consecutive Frame ◽  
Varied Background ◽  
Background Models

Moving object detection is a crucial and critical task for any surveillance system. Conventionally, a moving object detection task is performed on the basis of consecutive frame difference or background models which are based on some mathematical aspects or probabilistic approaches. But, these approaches are based on some initial conditions and short amount of time is needed to learn all these models. Also, the bottleneck in all these previous approaches is that they require neat and clean background or need to create a background first by using some approaches and that it is essential to update them regularly to cope with the illuminating changes. In this paper, moving object detection is executed using visual attention where there is no need for background formulation and updates as it is background independent. Many bottom-up approaches and one combination of bottom-up and top-down approaches are proposed in the present paper. The proposed approaches seem more efficient due to inessential requirement of learning background model and due to being independent of previous video frames. Results indicate that the proposed approach works even against slight movements in the background and in various outdoor conditions.

A Robust and Efficient Video Moving Object Detection and Tracking Algorithm

2009 ◽  
Vol 35 (8) ◽  
pp. 1055-1062
Author(s):  
Shao-Hua LIU ◽  
Mao-Jun ZHANG ◽  
Zhi-Hui XIONG ◽  
Wang CHEN
Keyword(s):  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Tracking Algorithm ◽  
Object Detection And Tracking ◽  
Detection And Tracking ◽  
Efficient Video

The method of rapid moving object detection in rotating camera

2013 ◽  
Vol 26 (7) ◽  
pp. 624-628
Author(s):  
Jianguo Jiang ◽  
Zhixiang Cai ◽  
Meibin Qi ◽  
Wei Wang
Keyword(s):  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Rotating Camera

Advanced Moving Object Detection by Using K-means Algorithm

2014 ◽  
Vol 1 (1) ◽  
pp. 9-14
Author(s):  
Sri Krishna Chaitanya Rudraraju ◽  
◽  
Srinivas Chalasani ◽  
Keyword(s):  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object
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