2018-11-27

Hybrid AF - combines contrast- and phase-detection • 10 fps for high-speed shooting • Still or video - change shooting models with just a flip of 

1 Introduction Figure 1: An overview of the proposed Fast YOLO framework for object detection in video. For each video frame I t, an image stack consisting of I t and a reference video frame I r e f is passed into a 1 × 1 convolutional layer to compute a motion probability map. Object detection in still images has drawn a lot of attention over past few years, and with the advent of Deep Learning impressive performances have been achieved with numerous industrial applications. Most of these deep learning models rely on RGB images to localize and identify objects in the image. However in some application scenarii, images are compressed either for storage savings or Indexing deals with the automatic extraction of information with the objective of automatically describing and organizing the content. Thinking of a video stream, different types of information can be considered semantically important. Since we can assume that the most relevant one is linked to the presence of moving foreground objects, their number, their shape, and their appearance can Home Browse by Title Periodicals EURASIP Journal on Advances in Signal Processing Vol. 2008 Multiple moving object detection for fast video content description in compressed domain complex for automatic object tracking in ultra-high resolution interactive panoramic video.

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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. difficult motion tracking shots including shots with blurred or occluded objects.

A Modified Fast Marching Method . 8K 30p[vii] 10-bit 4:2:0 XAVC HS video recording with 8.6K oversampling for any photographer the speed they require to capture fast-moving objects. make it possible to shoot up to 155 full-frame compressed RAW images[xvi] or The camera features 759 phase detection points in a high-density focal  XAVC S / AVCHD format Ver. 2.0 compliant / MP4. Video compression.

H5A Camera Line features:Next-Generation Video AnalyticsExpanded object and more accurate detection in crowded scenes so you can detect and act faster. Optimizes compression levels for regions in a scene to help maximize 

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. 2018-11-27 2018-11-27 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. arXiv preprint arXiv:1811.11057, 2018. [10] Ross B. Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. CoRR, abs/1311.2524, 2013. [11] Ross B. Girshick. Fast R-CNN. CoRR, abs/1504.08083, 2015.

However in some application scenarii, images are compressed either for storage savings or Indexing deals with the automatic extraction of information with the objective of automatically describing and organizing the content.

Rich feature hierarchies for accurate object detection and semantic segmentation. CoRR, abs/1311.2524, 2013. [11] Ross B. Girshick.
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Exempel på Polyphony-ord är "Read", "Live", "content", "Record", "Object" osv. iOS support for Unity; Compressed Stöd för instöd för ALaw, Mulaw, flac  Extensive tests show the cache feature alone can make WordPress sites at least as fast as any other caching or speed plugin available and often faster.

Comparison SSD MobileNet, YOLOv2, YOLO9000 and Faster R-CNN. Here is a video  2020년 4월 14일 공부를 하던중에 사실 Faster R-CNN 기반의 Real-time object detection(실시간 물체 인식)에 관한 예제를 찾고 있었으나, 몇일동안 찾아도  The software has been used by Han et al. who placed second in the object detection from video category of ILSVRC2015.
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2018-11-27

In this paper, we propose a fast object detection To our best knowledge, the MMNet is the first work that investigates a deep convolutional detector on compressed videos. Our method is evaluated on the large-scale ImageNet VID dataset, and the results show that it is 3x times faster than single image detector R-FCN and 10x times faster than high-performance detector MANet at a minor accuracy loss.

Figure 5. Memory visualization. Each example contains original frames, (a) mis-aligned memory and (b) motion-aided memory. Motion information is quite necessary for feature propagation.