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A Review of Video Object Detection: Datasets, Metrics and Methods
Applied Sciences (Switzerland), 2020 Although there are well established object detection methods based on static images, their application to video data on a frame by frame basis faces two shortcomings: (i) lack of computational efficiency due to redundancy across image frames or by not ...
Haidi Zhu, Haoran Wei, Baoqing Li
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Detection Continuity Loss for Video Object Detection
2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2021The video object detection is one of the key challenges in the field of object detection. The detection accuracy and real-time performance must be considered, and requirement for detection continuity is also put forward. This article proposes a detection continuity loss (DCL) to solve the problem of poor detection continuity in the video object ...
Yunlong Fan, Ou Li, Guangyi Liu 0006
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Ranking Video Salient Object Detection
Proceedings of the 27th ACM International Conference on Multimedia, 2019Video salient object detection has been attracting more and more research interests recently. However, the definition of salient objects in videos has been controversial all the time, which has become a critical bottleneck in video salient object detection. Specifically, the sequential information contained in videos results in a fact that objects have
Zheng Wang 0008 +3 more
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Detection of Multiple Instances of Video Objects
2011 Seventh International Conference on Signal Image Technology & Internet-Based Systems, 2011This paper tackles the issue of retrieving different instances of an object of interest within a given video document or in a video database. The principle consists of considering a semi-global image representation based on an over-segmentation of image frames.
Andrei Bursuc +2 more
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Video Saliency Detection Using Object Proposals [PDF]
IEEE Transactions on Cybernetics, 2018 In this paper, we introduce a novel approach to identify salient object regions in videos via object proposals. The core idea is to solve the saliency detection problem by ranking and selecting the salient proposals based on object-level saliency cues.
Wenguan Wang +2 more
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Object Detection in Video with Graphical Models
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006In this paper, we propose a general object detection framework which combines the hidden Markov model with the discriminative random fields. Recent object detection algorithms have achieved impressive results by using graphical models, such as Markov random field. These models, however, have only been applied to two dimensional images.
David Liu 0001, Tsuhan Chen
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Detecting and Recognizing Salient Object in Videos
2018Saliency detection has been an interesting research field. Some researchers consider it as a segmentation problem some others treat it differently. In this paper, we propose a novel video saliency framework that detects and recognizes the object of interest.
Rahma Kalboussi +2 more
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Moving Object Detection in Aerial Video
2012 11th International Conference on Machine Learning and Applications, 2012We address the problem of moving object detection in aerial video. Moving object detection in aerial video is still a challenging problem for the reason that when capturing the video the camera (or the platform) is moving all the time. As a result, the problem is detecting moving object from moving background which is much more difficult than the case ...
Yunfei Wang +2 more
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Evaluation of Object Detection Systems and Video Tracking in Skiing Videos
2021 International Conference on Content-Based Multimedia Indexing (CBMI), 2021Nowadays, modern ski resorts provide additional services to customers, such as recording videos of specific moments from their skiing experience. This and similar tasks can be achieved by using computer vision methods. In this work, we evaluate the detection performance of current object detection methods and the tracking performance of a detection ...
Philip Steinkellner, Klaus Schöffmann
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Detection and Segmentation of Moving Objects in Video
2006 Canadian Conference on Electrical and Computer Engineering, 2006This paper proposes to define moving objects in video scene in terms of MPEG like motion vectors. Local Areas in a video scene where large magnitude of motion vectors is detected are regarded to contain a moving object(s). Macro blocks indicating a large motion vector are segmented from the frame of video image.
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