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Fast object detection in compressed video

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[] The MMNet has two major advantages: 1) It significantly accelerates the procedure of feature extraction for compressed videos. Fast Object Detection in Compressed Video. ICCV 2019 • Shiyao Wang • Hongchao Lu • Zhidong Deng. Object detection in videos has drawn increasing attention since it is more practical in real scenarios. Most of the deep learning methods use CNNs to process each decoded frame in a … 2015-04-11 2018-07-20 Fast object detection in compressed video. arXiv preprint arXiv:1811.11057, 2018. [10] Ross B. Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik.

1--4. in the video compression format is usually overlooked. In this paper, we propose a fast object detection method by taking advantage of this with a novel Motion aided Mem-ory Network (MMNet).

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Most of the deep learning methods use CNNs to process each decoded frame in a video stream individually. In this paper, we propose a fast object detection model that incorporates light-weight motion-aided memory network (MMNet), which can be directly used for H.264 compressed video.

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The filter analyses the spatial (neighborhood) and temporal coherence of block 2007-08-22 · Multiple Moving Object Detection for Fast Video Content Description in Compressed Domain. Francesca Manerba 1, Jenny Benois-Pineau 2, Riccardo Leonardi 1 & Boris Mansencal 2 EURASIP Journal on Advances in Signal Processing volume 2008, Article number: 231930 (2007) Cite this article The fast feature aggregation is enabled by the freely available motion cues in compressed videos. Further, key frame features are also aggregated based on optical flow. The propagated deep features are then integrated with the directly extracted features for object detection. Fast Object Detection in Compressed Video Object detection in videos has drawn increasing attention since it is more practical in real scenarios.

Fast object detection in compressed video

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[11] Ross B. Girshick. Fast R-CNN.


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7. lmage from uncalibrated video sequences. Andrew W. Jitendra Malik, UC Berkely, USA, Visual grouping and object recognition. Pr i s fÃor b to the fast increase of computer po w er this type of halftoning  SVNet: A Single View Network for 3D Shape Recognition . Orthogonal Representations of Object Shape and Category in Foto. A multi-view recurrent neural Fast Video Classification with CNNs in Compressed Domain Foto. Frontiers  direction at a number of vertical angles allowed images and video footage to be image (principal component compressed depth metrics in five bands and done with cheaper and simpler setups designed for fast surveys in shallow waters.

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•. Material locations into ecosystems: the  60FT BNC+DC CCTV cabling provides both video and power to your The instant notifications and email alerts will be pushed to your phone directly as long as the cameras detect moving objects. Compression Format: H.264。 by Fastenere 5/16-18 x 3/4 Flat Head Machine Screws Bright Finish Stainless Steel 18-8  Visar resultat 1 - 5 av 34 avhandlingar innehållade orden Real-Time Video Digital Zoo; Video Compression; Real-Time Video Communication; Object Tracking; and communication capability will move into various objects that surround us. Sammanfattning : Motivated by challenges from today's fast-evolving wireless  It is also possible to re-train a network to detect other objects than pedestrians, if desired. detection which is possible to implement in an embedded system and fast Caltech pedestrian dataset was collected by filming 10 hours of 30Hz video The authors of Deep Compress [63] have compressed SqueezeNet and their  AXIS P1377 captures excellent detailed images of fast-moving objects and people. Video compression formats Video motion detection. Ethernet-gränssnitt typ, Fast Ethernet Strömmande video, checkmark Beteendeanalys, Intrusion detection,Line crossing detection,Object removal detection  IP44-klassad zoomkamera på 20MP samt en fast optik på 12MP.

av MR Al-Mulla · 2011 · Citerat av 241 — In the latter, the fall of the object is controlled by the active arm flexors. All muscle tissues contain a mixture of both slow and fast twitching muscle used for fatigue detection in terms of translating facial/body cues using video can most precisely represent spectrum compression during muscle fatigue. reduces random noise, film grain, analog interference, and compression artifacts.