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In recent years, several progressive works promote the development of aerial tracking. One of the representative works is our previous work Fast-tracker which is applicable to various challenging tracking scenarios. However, it suffers from…

Robotics · Computer Science 2021-03-12 Neng Pan , Ruibin Zhang , Tiankai Yang , Chao Xu , Fei Gao

Bird strikes present a huge risk for aircraft, especially since traditional airport bird surveillance is mainly dependent on inefficient human observation. Computer vision based technology has been proposed to automatically detect birds,…

Computer Vision and Pattern Recognition · Computer Science 2016-01-19 Ying Huang , Hong Zheng , Haibin Ling , Erik Blasch , Hao Yang

Human-object contact (HOT) is designed to accurately identify the areas where humans and objects come into contact. Current methods frequently fail to account for scenarios where objects are frequently blocking the view, resulting in…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Yuxiao Wang , Wenpeng Neng , Zhenao Wei , Yu Lei , Weiying Xue , Nan Zhuang , Yanwu Xu , Xinyu Jiang , Qi Liu

Recently, several single-pixel imaging (SPI) schemes have emerged for imaging fast-moving objects and have shown dramatic results. However, fast image reconstruction of a moving object with high quality is still challenging for SPI, thereby…

Optics · Physics 2024-10-08 Shijian Li , Xu-Ri Yao , Wei Zhang , Yeliang Wang , Qing Zhao

Eye tracking is handled as one of the key technologies for applications that assess and evaluate human attention, behavior, and biometrics, especially using gaze, pupillary, and blink behaviors. One of the challenges with regard to the…

Computer Vision and Pattern Recognition · Computer Science 2021-07-14 Efe Bozkir , Ali Burak Ünal , Mete Akgün , Enkelejda Kasneci , Nico Pfeifer

Iris recognition is considered as one of the best biometric methods used for human identification and verification, this is because of its unique features that differ from one person to another, and its importance in the security field.…

Computer Vision and Pattern Recognition · Computer Science 2011-11-08 M. Y. Shams , M. Z. Rashad , O. Nomir , R. M. El-Awady

This paper presents the most comprehensive analysis of iris recognition reliability in the occurrence of various biological processes happening naturally and pathologically in the human body, including aging, illnesses, and post-mortem…

Computer Vision and Pattern Recognition · Computer Science 2018-09-05 Mateusz Trokielewicz , Adam Czajka , Piotr Maciejewicz

A large portion of iris images captured in real world scenarios are poor quality due to the uncontrolled environment and the non-cooperative subject. To ensure that the recognition algorithm is not affected by low-quality images,…

Image and Video Processing · Electrical Eng. & Systems 2020-09-29 Leyuan Wang , Kunbo Zhang , Min Ren , Yunlong Wang , Zhenan Sun

Iris authentication algorithms have achieved impressive recognition performance, making them highly promising for real-world applications such as border control, citizen identification, and both criminal investigations and commercial…

Computer Vision and Pattern Recognition · Computer Science 2025-11-27 Geetanjali Sharma , Gaurav Jaswal , Aditya Nigam , Raghavendra Ramachandra

The proper classification of major eye movements, saccades, fixations, and smooth pursuits, remains essential to utilizing eye-tracking data. There is difficulty in separating out smooth pursuits from the other behavior types, particularly…

Computer Vision and Pattern Recognition · Computer Science 2019-04-24 Samuel-Hunter Berndt , Douglas Kirkpatrick , Timothy Taviano , Oleg Komogortsev

Referring Remote Sensing Image Segmentation (RRSIS) is critical for ecological monitoring, urban planning, and disaster management, requiring precise segmentation of objects in remote sensing imagery guided by textual descriptions. This…

Computer Vision and Pattern Recognition · Computer Science 2025-02-13 Tianxiang Zhang , Zhaokun Wen , Bo Kong , Kecheng Liu , Yisi Zhang , Peixian Zhuang , Jiangyun Li

Examining locomotion has improved our basic understanding of motor control and aided in treating motor impairment. Mice and rats are premier models of human disease and increasingly the model systems of choice for basic neuroscience. High…

Computer Vision and Pattern Recognition · Computer Science 2018-05-29 Omid Haji Maghsoudi , Annie Vahedipour Tabrizi , Benjamin Robertson , Andrew Spence

Laser interferometry (LFI)-based eye-tracking systems provide an alternative to traditional camera-based solutions, offering improved privacy by eliminating the risk of direct visual identification. However, the high-frequency signals…

Human-Computer Interaction · Computer Science 2025-05-13 Suleyman Ozdel , Johannes Meyer , Yasmeen Abdrabou , Enkelejda Kasneci

Systems based on bag-of-words models from image features collected at maxima of sparse interest point operators have been used successfully for both computer visual object and action recognition tasks. While the sparse, interest-point based…

Computer Vision and Pattern Recognition · Computer Science 2013-12-31 Stefan Mathe , Cristian Sminchisescu

Event-based vision has been rapidly growing in recent years justified by the unique characteristics it presents such as its high temporal resolutions (~1us), high dynamic range (>120dB), and output latency of only a few microseconds. This…

Computer Vision and Pattern Recognition · Computer Science 2023-01-03 Zaid El-Shair , Samir Rawashdeh

Accurate detection and tracking of objects is vital for effective video understanding. In previous work, the two tasks have been combined in a way that tracking is based heavily on detection, but the detection benefits marginally from the…

Computer Vision and Pattern Recognition · Computer Science 2018-11-28 Zheng Zhang , Dazhi Cheng , Xizhou Zhu , Stephen Lin , Jifeng Dai

We address the problem of multi-modal object tracking in video and explore various options of fusing the complementary information conveyed by the visible (RGB) and thermal infrared (TIR) modalities including pixel-level, feature-level and…

Computer Vision and Pattern Recognition · Computer Science 2022-01-24 Zhangyong Tang , Tianyang Xu , Hui Li , Xiao-Jun Wu , Xuefeng Zhu , Josef Kittler

Eye tracking has become an essential human-machine interaction modality for providing immersive experience in numerous virtual and augmented reality (VR/AR) applications desiring high throughput (e.g., 240 FPS), small-form, and enhanced…

Tracking-by-detection approaches are some of the most successful object trackers in recent years. Their success is largely determined by the detector model they learn initially and then update over time. However, under challenging…

Computer Vision and Pattern Recognition · Computer Science 2015-10-01 Yang Hua , Karteek Alahari , Cordelia Schmid

Saccades are extremely rapid movements of both eyes that occur simultaneously, typically observed when an individual shifts their focus from one object to another. These movements are among the swiftest produced by humans and possess the…

Computer Vision and Pattern Recognition · Computer Science 2024-10-08 Khadija Iddrisu , Waseem Shariff , Suzanne Little