REPOGEO REPORT · LITE
longcw/MOTDT
Default branch master · commit 1aad7a3b · scanned 6/8/2026, 4:23:00 PM
GitHub: 535 stars · 131 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface longcw/MOTDT, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Add a concise introductory sentence to the README
Why:
CURRENT## MOTDT
COPY-PASTE FIX## MOTDT This repository provides a real-time multiple people tracking system using deeply learned candidate selection and person re-identification, as presented at ICME 2018.
- mediumreadme#2Add a 'Key Differentiator' section to the README
Why:
COPY-PASTE FIX### Key Differentiator MOTDT distinguishes itself by jointly optimizing object detection and feature learning for re-identification within a single deep learning framework, unlike many tracking-by-detection methods that treat these as separate, sequential steps.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- DeepSORT · recommended 2×
- ByteTrack · recommended 2×
- DeepStream SDK · recommended 1×
- opencv/opencv · recommended 1×
- YOLO · recommended 1×
- CATEGORY QUERYHow to implement a real-time system for tracking multiple people in video?you: not recommendedAI recommended (in order):
- DeepStream SDK
- OpenCV (opencv/opencv)
- YOLO
- SSD
- PyTorch (pytorch/pytorch)
- TensorFlow (tensorflow/tensorflow)
- DeepSORT
- ByteTrack
- MMTracking (open-mmlab/mmtracking)
- TensorFlow Object Detection API (tensorflow/models)
- MediaPipe (google/mediapipe)
- Ultralytics YOLO (ultralytics/ultralytics)
AI recommended 12 alternatives but never named longcw/MOTDT. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat open-source solutions exist for multi-object tracking with person re-identification?you: not recommendedAI recommended (in order):
- ByteTrack
- StrongSORT
- BoT-SORT
- OSNet
- ResNet50
- DeepSORT
- FairMOT
- TrackFormer
- MOTR
- Quasi-Dense Tracking (QDT)
AI recommended 10 alternatives but never named longcw/MOTDT. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of longcw/MOTDT?passAI named longcw/MOTDT explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts longcw/MOTDT in production, what risks or prerequisites should they evaluate first?passAI named longcw/MOTDT explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo longcw/MOTDT solve, and who is the primary audience?passAI named longcw/MOTDT explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of longcw/MOTDT. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
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longcw/MOTDT — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite