mlsanityData to 14 Oct 2026

See Without Decoding: Motion-Vector-Based Tracking in Compressed Video

arXiv 2602.00153 ↗First posted 29 Jan 2026cs.CV cs.AI eess.IVcited by 4

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Abstract (arXiv)

We propose a lightweight compressed-domain tracking model that operates directly on video streams, without requiring full RGB video decoding. Using motion vectors and transform coefficients from compressed data, our deep model propagates object bounding boxes across frames, achieving a computational speed-up of order up to 3.7 with only a slight 4% [email protected] drop vs RGB baseline on MOTS15/17/20 datasets. These results highlight codec-domain motion modeling efficiency for real-time analytics in large monitoring systems.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 8 of its 15 references that are in the map. First posted on arXiv 29 Jan 2026.

Builds on

8 of 15 references.

References · 8

  1. 2023DETRs Beat YOLOs on Real-time Object Detectioncited by 533
  2. 2016MOT16: A Benchmark for Multi-Object Trackingcited by 532
  3. 2024YOLOv11: An Overview of the Key Architectural Enhancementscited by 425
  4. 2020MOT20: A benchmark for multi object tracking in crowded scenescited by 357
  5. 2018Fast Object Detection in Compressed Videocited by 33
  6. 2018MV-YOLO: Motion Vector-aided Tracking by Semantic Object Detectioncited by 6
  7. 2021Real-Time and Accurate Object Detection in Compressed Video by Long Short-term Feature Aggregationcited by 5
  8. 2020Object Detection in the DCT Domain: is Luminance the Solution?cited by 3

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 4.

4 papers.

  1. 2026Detect Early, Escalate Rarely: Anytime Detection of AI-Generated Video from the Compressed Bitstreamcited by 0
  2. 2026MVTrack: Ultrafast Appearance-Free Moving Object Tracking from Compressed Bitstreamscited by 0
  3. 2026Albireo: Adaptive, Energy-Efficient Inference Framework for Video Object Detection on the Edgecited by 0
  4. 2026Analytical and Convolutional Neural Network-Based Motion-Vector Propagation for Efficient Video Object Detectioncited by 0